[
  {
    "id": 657,
    "name": "Bikanta",
    "slug": "bikanta",
    "former_names": [],
    "small_logo_thumb_url": "/company/thumb/missing.png",
    "website": "http://bikanta.com",
    "all_locations": "Berkeley, CA, USA",
    "long_description": "Bikanta is introducing revolutionary nanodiamond-based technology to push the boundaries of current medical imaging and diagnostics, allowing researchers to answer questions and medics to detect diseases that they currently cannot.\r\n\r\nA nanodiamond is forever. They are brightly fluorescent, infinitely stable, non-toxic, functionalizable and can be used for background-free optical imaging.  Early results have improved the signal by as much as 100-fold over conventional fluorescence imaging techniques.   Bikanta’s vision is to redefine the boundaries of medical diagnostics by delivering cutting-edge imaging probes and background-free optical imaging.",
    "one_liner": "Nano-diamonds for cancer detection",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1398907618,
    "tags": [
      "Nanomedicine"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2014",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/bikanta",
    "api": "https://yc-oss.github.io/api/batches/summer-2014/bikanta.json"
  },
  {
    "id": 739,
    "name": "Notable Labs",
    "slug": "notable-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2bf47d120c3bdde2a9ad11d9f05f1c08a72ca0e.png",
    "website": "http://notablelabs.com",
    "all_locations": "Foster City, CA, USA",
    "long_description": "Notable Labs is building a personalized drug discovery platform to identify treatment options for relapsed and refractory cancer patients — starting with blood cancer — to address the long tail of cancer treatment. We look at a person’s actual cancer cells, test combinations of FDA approved drugs, and see which combinations kill the cancer cells and leave the healthy cells alive. We focus on combinations because cancer is often difficult to target with just one drug and starting with a single drug can lead to resistant clones or relapse. We're building a highly automated lab in Foster City running on our custom software and are currently testing relapsed/refractory cancer patients as well as samples from a variety of pharma/biotech partnerships.\r\n\r\nhttps://www.notablelabs.com/careers",
    "one_liner": "Personalized drug discovery for blood cancer.",
    "team_size": 40,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1407578442,
    "tags": [
      "Biotech",
      "Drug discovery",
      "Oncology"
    ],
    "tags_highlighted": [],
    "top_company": true,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2015",
    "status": "Public",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": true,
    "app_answers": false,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/notable-labs",
    "api": "https://yc-oss.github.io/api/batches/winter-2015/notable-labs.json"
  },
  {
    "id": 805,
    "name": "Lucira Health",
    "slug": "lucira-health",
    "former_names": [
      "Diassess"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c16f624e7c7aac96877a792583de496fc66b4a02.png",
    "website": "https://www.lucirahealth.com/",
    "all_locations": "Emeryville, CA, USA",
    "long_description": "Diassess Inc. is revolutionizing the way infectious diseases are prevented, diagnosed, and monitored by developing the tools necessary to empower people to become knowledgeable about their health. We produce inexpensive, disposable health diagnostic hardware that transforms any smartphone into a portable, real-time health-monitoring device for rapid, accessible, multiplexed analysis of bodily fluids anywhere in the world.",
    "one_liner": "Next generation infectious disease test kits",
    "team_size": 43,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1416306600,
    "tags": [
      "Health Tech",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2015",
    "status": "Public",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/lucira-health",
    "api": "https://yc-oss.github.io/api/batches/winter-2015/lucira-health.json"
  },
  {
    "id": 840,
    "name": "X-Zell",
    "slug": "x-zell",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fafbc0fbed91c91e5664f3b665740b3a037febe.png",
    "website": "http://www.x-zell.com",
    "all_locations": "Singapore, Singapore; Bangkok, Thailand; Düsseldorf, NRW, Germany",
    "long_description": "X-ZELL™ is a global start-up specialising in rare cell detection technology. \r\n\r\nBacked by Y Combinator and various high-profile angel investors from around the globe – among them Gmail creator Paul Buchheit – X-ZELL™ has developed a world-first platform technology capable of isolating and visualizing rare and abnormal cells such as Circulating Endothelial Cells (CEC).\r\n\r\nX-ZELL™’s platform technology is based on four core modules covering the entire spectrum from blood processing through to cell analysis and reporting – with every step performed in-house using patented and proprietary technology.\r\n\r\nBy combining the wisdom of 4,000 years of pathologic research with X-ZELL™’s own, cutting-edge technology, \r\nX-ZELL™ ensures robust results and maximum clinical utility across a broad range of medical applications – from research through to medication management, companions diagnostics, relapse control and diagnostic decision-making.\r\n\r\nMore information on www.x-zell.com and @XZELLInc",
    "one_liner": "Early, pain-free cancer detection. ",
    "team_size": 19,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1416312163,
    "tags": [
      "Medical Devices"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2015",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "Singapore",
      "Thailand",
      "Germany",
      "Southeast Asia",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/x-zell",
    "api": "https://yc-oss.github.io/api/batches/winter-2015/x-zell.json"
  },
  {
    "id": 955,
    "name": "Klarismo",
    "slug": "klarismo",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b735035a5d3492fb1057eb5b35bd5b80ee018df.png",
    "website": "http://klarismo.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Fully-automated Quantitative MR Image Analysis.\r\n\r\nOur software converts a user’s full body magnetic resonance scan (MRI) into a 3D virtual model of their body in the cloud. The model is annotated with explanatory information so they can easily explore and learn about different parts of their body.\r\n\r\nKlarismo is the only provider of MR analytics that can offer truly scalable analysis for large data collections. Cloud-based processing allows 1000s of acquisitions to be analyzed simultaneously. Machine learning techniques utilize Klarismo’s proprietary collection of labelled MRI data and eliminate the need for manual processing to produce precise volumetric measurements.\r\n\r\nKlarismo specializes in the detailed analysis of body composition, including volumetric measurements of different muscle and fat tissues, from whole-body acquisitions.",
    "one_liner": "Klarismo turns your body into an interactive experience. We built a…",
    "team_size": 1,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1430435618,
    "tags": [
      "Health Tech",
      "Medical Devices"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2015",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/klarismo",
    "api": "https://yc-oss.github.io/api/batches/summer-2015/klarismo.json"
  },
  {
    "id": 962,
    "name": "Cofactor Genomics",
    "slug": "cofactor-genomics",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0138772cf18d9846bdac1578f7edd2288e7e4142.png",
    "website": "http://cofactorgenomics.com",
    "all_locations": "St. Louis, MO, USA",
    "long_description": "Cofactor uses RNA and Predictive Immune Modeling to build better biomarkers and improve patient outcomes.\r\n\r\nLed by Jarret Glasscock and a group of expert human genome scientists,Cofactor has built a new category of diagnostic technology powered by unique and powerful RNA data models built on terabytes of data. \r\n\r\nThe team recently had their technology validation peer-reviewed by the organizations that set standards for diagnostic technology (CAP, AMP) and is publishing in the Journal of Molecular Diagnostics. In addition, the team made news when Cancer Physicians who sit on the committee for patient treatment guidelines (NCCN) presented a clinical study using Cofactor’s technology showing superiority in predicting the patients who will respond to immunotherapy. This initial application is an acute problem recognized widely in the rapidly developing immunotherapy industry and represents north of a billion dollar TAM. \r\n\r\nAfter a number of recent key milestones, the team is taking the technology more broadly to 50% of cancers diagnosed in the US. \r\n\r\nCurrent investors include Menlo Ventures, DCVC, and Ascension Ventures (this last investor representing the funding arm for 13 National U.S. Healthcare Systems).",
    "one_liner": "Cofactor closes the precision medicine gap with predictive diagnostics",
    "team_size": 13,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1433394319,
    "tags": [
      "Medical Devices",
      "Biotech",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2015",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/cofactor-genomics",
    "api": "https://yc-oss.github.io/api/batches/summer-2015/cofactor-genomics.json"
  },
  {
    "id": 1000,
    "name": "Loop Genomics",
    "slug": "loop-genomics",
    "former_names": [],
    "small_logo_thumb_url": "/company/thumb/missing.png",
    "website": "http://www.loopgenomics.com/",
    "all_locations": "San Jose, CA, USA",
    "long_description": "Loop Genomics provides long-read sequencing solutions across a diverse set of research and clinical applications.  Our platform for long-read DNA sequencing transforms short-read DNA sequencers into long-read sequencing machines. ",
    "one_liner": "Novel long-read DNA sequencing technology",
    "team_size": 7,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1447280416,
    "tags": [
      "Biotech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2016",
    "status": "Acquired",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/loop-genomics",
    "api": "https://yc-oss.github.io/api/batches/winter-2016/loop-genomics.json"
  },
  {
    "id": 1014,
    "name": "Luminist Labs",
    "slug": "luminist-labs",
    "former_names": [
      "Luminist"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2a824d7b13f5cb87d6f2567fb9307570a0c1d46.png",
    "website": "http://luministlabs.com",
    "all_locations": "Newark, CA, USA",
    "long_description": "Luminist developed a non-invasive diagnostic test for the early detection and staging of liver fibrosis and non-alcoholic steatohepatitis (NASH). Luminist was acquired in 2020 by DiscernDx.",
    "one_liner": "Diagnostic platform for early detection of liver disease",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1447311916,
    "tags": [
      "Medical Devices",
      "Diagnostics",
      "Genomics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2016",
    "status": "Acquired",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/luminist-labs",
    "api": "https://yc-oss.github.io/api/batches/winter-2016/luminist-labs.json"
  },
  {
    "id": 1023,
    "name": "Unima",
    "slug": "unima",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c2c011e4d98e07f268e9d5fe993f2508a4a51e7.png",
    "website": "http://www.unimadx.com",
    "all_locations": "Zapopan, Jal., Mexico",
    "long_description": "Unima developed a fast and low-cost diagnostic and real-time disease surveillance that allows anyone to diagnose a disease directly where the patient is, without using lab equipment, with results in 15 minutes and at a very low cost.",
    "one_liner": "Fast and low-cost diagnostics for real time disease surveillance",
    "team_size": 26,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1447312816,
    "tags": [
      "Health Tech",
      "Biotech",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2016",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "Mexico",
      "Latin America"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/unima",
    "api": "https://yc-oss.github.io/api/batches/winter-2016/unima.json"
  },
  {
    "id": 1030,
    "name": "Opentrons",
    "slug": "opentrons",
    "former_names": [
      "OpenTrons"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/218a1e71ef58cf5c6cbd797a5c9a25f5b4525037.png",
    "website": "http://opentrons.com",
    "all_locations": "New York, NY, USA",
    "long_description": "Today, biologists spend too much time pipetting by hand. We think biologists should have robots to do pipetting for them. People doing science should be free of tedious benchwork and repetitive stress injuries. They should be able to spend their time designing experiments and analyzing data.\r\n\r\nThat's why we started Opentrons.\r\n\r\nWe make robots for biologists. Our mission is to provide the scientific community with a common platform to easily share protocols and reproduce each other's results. Our robots automate experiments that would otherwise be done by hand, allowing our community to spend more time pursuing answers to some of the 21st century’s most important questions.",
    "one_liner": "We make robots for biologists. ",
    "team_size": 300,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1447527916,
    "tags": [
      "Robotics",
      "Synthetic Biology",
      "Biotech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2016",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/opentrons",
    "api": "https://yc-oss.github.io/api/batches/winter-2016/opentrons.json"
  },
  {
    "id": 1109,
    "name": "BillionToOne",
    "slug": "billiontoone",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7374f48e30f2dabadb3413903af69fcda589d67f.png",
    "website": "https://www.billiontoone.com",
    "all_locations": "Menlo Park, CA, USA",
    "long_description": "BillionToOne has developed a DNA molecular counter that increases the cell-free DNA diagnostics resolution by over 1,000 fold, which unlocks transformative improvements in prenatal screening and liquid biopsy for cancers. Unity Screen, BillionToOne's commercially available non-invasive prenatal test (NIPT), is the only NIPT that can assess fetal risk for both recessive conditions and aneuploidies from maternal blood. UNITY Screen continues to grow exponentially and is on its path to becoming the next standard-of-care, with an increasing number of publications showing its accuracy and advantages over other screening methods. We have also recently used our molecular counting technology to develop liquid biopsy tests, which have the potential to completely transform oncology care.",
    "one_liner": "The genetic testing platform detecting and measuring disease.",
    "team_size": 300,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1453416611,
    "tags": [
      "Diagnostics",
      "Genomics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2017",
    "status": "Public",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/billiontoone",
    "api": "https://yc-oss.github.io/api/batches/summer-2017/billiontoone.json"
  },
  {
    "id": 1235,
    "name": "Shield Bio",
    "slug": "shield-bio",
    "former_names": [
      "TL Biolabs",
      "Shield Diagnostics"
    ],
    "small_logo_thumb_url": "/company/thumb/missing.png",
    "website": "http://shieldbio.com",
    "all_locations": "San Jose, CA, USA",
    "long_description": "Shield Bio is a precision medicine company with a\r\nproprietary platform that enables reliable nanopore\r\nsequencing in under a minute, in a clinical setting. It is\r\nfocused on bringing 3rd generation or \"nanopore\"\r\nsequencing into clinical use to deliver on the promise of\r\nprecision medicine. Shield is initially using the technology to\r\nimprove the treatment of infectious disease and address the\r\nunmet clinical need of sepsis, which kills 300,000 people a\r\nyear in the US alone.",
    "one_liner": "Bringing 3rd generation, nanopore sequencing to healthcare to solve…",
    "team_size": 28,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1461210620,
    "tags": [
      "Healthcare",
      "Genomics",
      "Nanotechnology"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2016",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/shield-bio",
    "api": "https://yc-oss.github.io/api/batches/summer-2016/shield-bio.json"
  },
  {
    "id": 1243,
    "name": "Kenota (formerly ExVivo Labs)",
    "slug": "kenota",
    "former_names": [
      "ExVivo Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e389cbf09ff94eb9242f60bd9522b162a2464ff.png",
    "website": "https://kenota.com/",
    "all_locations": "Kitchener, ON, Canada",
    "long_description": "",
    "one_liner": "Kenota is revolutionizing the way we test for disease ",
    "team_size": 35,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1461643818,
    "tags": [
      "Healthcare",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2016",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/kenota",
    "api": "https://yc-oss.github.io/api/batches/summer-2016/kenota.json"
  },
  {
    "id": 1491,
    "name": "InnaMed",
    "slug": "innamed",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a5f04ad2b7ba3169c85be1ac62f4a434b27d75d.png",
    "website": "http://www.InnaMed.com",
    "all_locations": "San Francisco, CA, USA; Philadelphia, PA, USA",
    "long_description": "InnaMed's HomeLab device and software take the hassle out of blood testing and let you access precision medical care from the comfort and privacy of your home. Healthcare providers and researchers can now receive timely clinical reports that they are accustomed to interpreting directly to their EMR, LIMS or EDC system. Trend identification and pattern matching software can guide decision making in the prescription and dosing of therapy and deep integration with the healthcare system and telehealth services allows for data driven care while also ensuring human connection.\r\n\r\n\r\n",
    "one_liner": "At-home blood testing: measure + analyze + enhance.",
    "team_size": 7,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1478225435,
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/innamed",
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    "id": 1532,
    "name": "Delee",
    "slug": "delee",
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    "website": "http://www.delee.co    ",
    "all_locations": "Monterrey, N.L., Mexico",
    "long_description": "Delee is a medical device company that developed a blood-testing device for early diagnosis of cancer and treatment monitoring through the isolation and analysis of the circulating tumor cells. ",
    "one_liner": "Blood testing device for early diagnosis of cancer and treatment…",
    "team_size": 18,
    "industry": "Healthcare",
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    "tags": [
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    ],
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    "batch": "Winter 2017",
    "status": "Active",
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    "regions": [
      "Mexico",
      "Latin America"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/delee",
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    "id": 1610,
    "name": "Darmiyan",
    "slug": "darmiyan",
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    "website": "https://www.darmiyan.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Novel quantitative virtual microscopy for early detection of Alzheimer's disease from non-invasive MRI.",
    "one_liner": "Early detection of Alzheimer's disease",
    "team_size": 8,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1493265720,
    "tags": [
      "Artificial Intelligence",
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      "Health Tech",
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    ],
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    "batch": "Summer 2017",
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    "industries": [
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/darmiyan",
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  {
    "id": 1646,
    "name": "Rev Genomics",
    "slug": "rev-genomics",
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      "Rev Genomics",
      "Inc."
    ],
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    "website": "https://www.revgenomics.com",
    "all_locations": "San Francisco, CA, USA; Oakland, CA, USA",
    "long_description": "Rev Genomics is a plant biotechnology company that provides breeders, growers, and retailers with novel cultivars to differentiate themselves in high value markets.",
    "one_liner": "Rev is a biotechnology company creating better plants.",
    "team_size": 8,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1493697720,
    "tags": [
      "B2B"
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      "America / Canada"
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/rev-genomics",
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  },
  {
    "id": 1655,
    "name": "PreDxion Bio",
    "slug": "predxion-bio",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/519a74fb089a6c9dd854328b8022c68e00467972.png",
    "website": "http://www.predxionbio.com",
    "all_locations": "South San Francisco, CA, USA",
    "long_description": "PreDxion Bio is working on a rapid saliva-based antigen test for the detection of SARS-CoV-2 S-protein in asymptomatic and presymptomatic patients. Our technology is uniquely capable of being scaled to 10's of millions of tests of days using semiconductor fab processes, a scale of testing necessary to better inform public health officials and policymakers and enable contact tracing at scale.\r\n\r\nPreDxion Bio's origins are in critical care: our original technology is a rapid, near real-time cytokine and biomarker detection platform to monitor the immune response of critically-ill patients. This technology leverages a novel sensor platform we spun out of the University of Michigan. PreDxion Bio has received FDA Breakthrough Device designation and partnered with top pharmcos to monitor the immune response following CAR-T therapy and predict the development of cytokine release syndrome and neurological AEs, and for use in guiding precision medicine approaches in critical care.",
    "one_liner": "Rapid, scalable diagnostic for SARS-CoV-2 and beyond",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1493740320,
    "tags": [
      "Microfluidics",
      "Nanosensors",
      "COVID-19"
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      "Partly Remote"
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    "url": "https://www.ycombinator.com/companies/predxion-bio",
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  },
  {
    "id": 1665,
    "name": "Oncobox",
    "slug": "oncobox",
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      "Oncobox",
      "OncoBox"
    ],
    "small_logo_thumb_url": "/company/thumb/missing.png",
    "website": "http://oncobox.com",
    "all_locations": "Walnut, CA, USA",
    "long_description": "Oncobox believes that many late-stage cancer patients are dying prematurely because doctors lack a data-driven tool to help them decide which drugs currently on the market would most effectively fight individual patients’ specific cancers. That’s where Oncobox comes in. Oncobox is low-cost personalized genetic profiling to help doctors decide which drug to use. In a recent study conducted by leading cancer researchers in Europe and Asia on 900 patients with various late-stage cancers, Oncobox increased the effectiveness of targeted therapies from 25% to 64%.\r\n\r\nHow does Oncobox work? Over 150 targeted cancer drugs are currently on the market. But deciding which of these drugs to give to late-stage cancer patients is not a simple task. Cancer doctors are in a race against the clock. They don’t always know which medication will be most effective for their patients. Because these drugs are expensive and typically have significant side effects, they can’t just try them all. Because of these barriers, targeted cancer therapies are effective only 25% of the time, and 70% of patients with late-stage cancers die due to the toxic side effects of ineffective drugs.\r\n\r\nOncobox Dx analyses tumor DNA, RNA, and molecular pathways using algorithms to distinguish which molecular targets are the most crucial for individual cases. Doctors receive a clinically actionable report that shows them which drugs are likely to be most effective on the patient.\r\n\r\nWe actively seek partners from pharma, hospitals/clinicians, payers, and genomic centers. Feel free to contact us at hello@oncobox.com. \r\n\r\nOur team and the scientific advisory board consisting of leading scientists and researchers from UCLA, Stanford, Johns Hopkins University, Boston University, Tufts University, and Rutgers University.",
    "one_liner": "Finding the right cancer drug for each patient. ",
    "team_size": 11,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
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      "Oncology"
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/oncobox",
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  {
    "id": 1686,
    "name": "Cambridge Cancer Genomics",
    "slug": "cambridge-cancer-genomics",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/53b0518d38ef7cc187360951dee976ad809db1d9.png",
    "website": "http://ccg.ai",
    "all_locations": "Cambridge, England, United Kingdom; England, United Kingdom",
    "long_description": "CCG.ai exist to ensure that each patient has the right drug, at the right time, to beat their cancer.\r\n‍\r\nWe build the software to enable data-driven precision oncology and systematically develop data-driven biomarkers indicative of treatment response. We believe that increasing amounts of clinical and genomic data have the potential to transform cancer treatment, and enable oncologists to make smarter decisions about which drug to use in which circumstance.\r\n\r\nWe are expanding our team in Cambridge, UK, offering a fantastic opportunity for dedicated individuals who are comfortable in a high-work high-reward environment, and who are enthusiastic for a dynamic and varied role. We are looking for people who fit well into our team and company culture, and who like to overcome challenges and drive the business forward. In exchange, we offer a competitive salary with performance related bonuses and stock options, alongside excellent career development opportunities in a fast-growing start-up with a chance to truly impact how cancer is treated.\r\n\r\nTo apply, please send your CV to info@ccg.ai",
    "one_liner": "CCG.ai empowers clinicians to make personalised treatment strategies…",
    "team_size": 25,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1495670432,
    "tags": [
      "Genomics",
      "Oncology"
    ],
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    "batch": "Summer 2017",
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      "Europe"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/cambridge-cancer-genomics",
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  {
    "id": 1791,
    "name": "Correlia Biosystems",
    "slug": "correlia-biosystems",
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    "website": "http://www.correliabio.com",
    "all_locations": "Berkeley, CA, USA",
    "long_description": "Correlia Biosystems is a UC Berkeley spinoff company based in Berkeley, CA. Correlia develops innovative microscale tools that accelerate rapid quantification of biomolecules.\r\n\r\nOur versatile \"SimpleScan\" technology opens up new biological questions from one microliter of sample, with rapid results that allow for dynamic monitoring of protein expression profiles (rather than simple end-point measurement). Applications range from enabling next-gen proteomic data sets to point-of-care diagnostics.",
    "one_liner": "Next-gen blood testing to provide 1000x more data to pharma companies",
    "team_size": 16,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1510027355,
    "tags": [
      "Hardware",
      "Lab-on-a-chip",
      "Microfluidics"
    ],
    "tags_highlighted": [],
    "top_company": false,
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    "nonprofit": false,
    "batch": "Winter 2018",
    "status": "Inactive",
    "industries": [
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      "Diagnostics"
    ],
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      "America / Canada",
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      "Partly Remote"
    ],
    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/correlia-biosystems",
    "api": "https://yc-oss.github.io/api/batches/winter-2018/correlia-biosystems.json"
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  {
    "id": 1916,
    "name": "Data Driven Bioscience",
    "slug": "data-driven-bioscience",
    "former_names": [],
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    "website": "http://datadrivenbioscience.com",
    "all_locations": "Durham, NC, USA",
    "long_description": "",
    "one_liner": "Cancer Diagnosis 10X faster, 10X cheaper",
    "team_size": 10,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1524711770,
    "tags": [
      "Artificial Intelligence",
      "Biotech",
      "Healthcare"
    ],
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    "batch": "Summer 2018",
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      "Diagnostics"
    ],
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      "America / Canada",
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      "Partly Remote"
    ],
    "stage": "Early",
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    "app_answers": true,
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    "url": "https://www.ycombinator.com/companies/data-driven-bioscience",
    "api": "https://yc-oss.github.io/api/batches/summer-2018/data-driven-bioscience.json"
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  {
    "id": 1932,
    "name": "Radix Labs",
    "slug": "radix-labs",
    "former_names": [
      "Phloem biotech"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cac41291118dec8729ffc4b179a57d24f1c93ac.png",
    "website": "http://radix.bio",
    "all_locations": "Cambridge, MA, USA",
    "long_description": "",
    "one_liner": "Operating systems for biology labs",
    "team_size": 7,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1524873814,
    "tags": [
      "IoT",
      "Biotech"
    ],
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2018",
    "status": "Inactive",
    "industries": [
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      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/radix-labs",
    "api": "https://yc-oss.github.io/api/batches/summer-2018/radix-labs.json"
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    "id": 1933,
    "name": "Clear Gene",
    "slug": "clear-gene",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c3988b74387b722e9f7364d78e224dbb7a5e2f7.png",
    "website": "https://cleargene.com",
    "all_locations": "San Carlos, CA, USA",
    "long_description": "",
    "one_liner": "Our tests help eradicate cancer by telling doctors whether they got…",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1616188654,
    "tags": [
      "Healthcare",
      "Diagnostics",
      "Women's Health",
      "Oncology"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
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    "batch": "Summer 2018",
    "status": "Active",
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    ],
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      "America / Canada",
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      "Partly Remote"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/clear-gene",
    "api": "https://yc-oss.github.io/api/batches/summer-2018/clear-gene.json"
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  {
    "id": 1949,
    "name": "Scanwell Health",
    "slug": "scanwell-health",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c239150be35c09cf1a917f12c84d7db6f28a85a6.png",
    "website": "https://www.scanwellhealth.com",
    "all_locations": "Los Angeles, CA, USA; Remote",
    "long_description": "Scanwell Health makes healthcare more accessible through smartphone-enabled, at-home diagnostics. Scanwell's innovative approach lets people test from anywhere, skip the waiting room and get same-day results. By quickly diagnosing acute illnesses, chronic diseases and rare conditions, Scanwell accelerates the path to treatment. Our first product is the only FDA-cleared over-the-counter app that provides testing and treatment for urinary tract infections (UTIs).",
    "one_liner": "Smartphone-enabled, at-home diagnostics",
    "team_size": 13,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1525226775,
    "tags": [
      "Health Tech",
      "Diagnostics"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2018",
    "status": "Acquired",
    "industries": [
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      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/scanwell-health",
    "api": "https://yc-oss.github.io/api/batches/summer-2018/scanwell-health.json"
  },
  {
    "id": 11976,
    "name": "BrainKey",
    "slug": "brainkey",
    "former_names": [
      "Brain Key"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37ef137c0b25704bcbf6c8a2e9e8910944567fe6.png",
    "website": "https://www.brainkey.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "BrainKey is an AI-driven digital healthcare company with a mission to create a world free from dementia. ",
    "one_liner": "Brain Longevity",
    "team_size": 20,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1541131379,
    "tags": [
      "Neurotechnology",
      "Health Tech",
      "Digital Health",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2019",
    "status": "Active",
    "industries": [
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      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/brainkey",
    "api": "https://yc-oss.github.io/api/batches/winter-2019/brainkey.json"
  },
  {
    "id": 12036,
    "name": "Probably Genetic",
    "slug": "probably-genetic",
    "former_names": [
      "Aiwa Health"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9558e9a7114240a3f1e2a6378bd906ffe21826f3.png",
    "website": "https://www.probablygenetic.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible.",
    "one_liner": "Patient Intelligence Platform for Genetic Disease ",
    "team_size": 17,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1541561609,
    "tags": [
      "Health Tech",
      "Biotech",
      "Genomics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2019",
    "status": "Active",
    "industries": [
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      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/probably-genetic",
    "api": "https://yc-oss.github.io/api/batches/winter-2019/probably-genetic.json"
  },
  {
    "id": 12077,
    "name": "Instapath Inc.",
    "slug": "instapath-inc",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/edbfa875f5b9593c4bbe89349b05b7a77c4bb9d6.png",
    "website": "http://instapathbio.com",
    "all_locations": "Houston, TX, USA",
    "long_description": "",
    "one_liner": "We built the world's first automated digital pathology lab.",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1541646306,
    "tags": [
      "Medical Devices"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2019",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/instapath-inc",
    "api": "https://yc-oss.github.io/api/batches/winter-2019/instapath-inc.json"
  },
  {
    "id": 12124,
    "name": "XGenomes",
    "slug": "xgenomes",
    "former_names": [
      "XGenomes Corp."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cca3d33a3a643c65629ce3164548e924340e550.png",
    "website": "http://www.xgenomes.com",
    "all_locations": "Boston, MA, USA; Cambridge, MA, USA",
    "long_description": "At XGenomes, we are building a technology comprising novel biochemistry, hardware and  algorithms for sequencing DNA. Our product will be streamlined: there is zero library preparation;  we sequence directly on unadulterated single molecules of DNA; DNA extraction will be integrated with sequencing; there is no bioinformatics bottleneck. The sequence we produce will be of unprecedented accuracy due to several layers of in-built redundancy including the sequencing both strands of the double-helix concurrently. The sequence we produce will be complete, encompassing: structural as well as single nucleotide variants; long-range haplotype phase; the repetitive \"dark matter\" of the genome. The cost of goods (consumables) of sequencing will be <$10, which will allow us to price our product at a level that will help grow the market while still achieving >90% margin. We will start by offering access as a service to high value customers, which be followed by a razor and blade model of selling instruments and consumables. ",
    "one_liner": "XGenomes is building the sequencing technology of the future. ",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1541806492,
    "tags": [
      "Genomics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2019",
    "status": "Active",
    "industries": [
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      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/xgenomes",
    "api": "https://yc-oss.github.io/api/batches/winter-2019/xgenomes.json"
  },
  {
    "id": 12657,
    "name": "Zergo",
    "slug": "zergo",
    "former_names": [
      "SannTek Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce8e4de67d63090a8cc6063dce90b126571c9bef.png",
    "website": "https://www.zergo.com/",
    "all_locations": "Waterloo, ON, Canada",
    "long_description": "",
    "one_liner": "We make a urine test that helps women get pregnant.",
    "team_size": 9,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1556763258,
    "tags": [
      "Fertility Tech",
      "Hardware"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2019",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/zergo",
    "api": "https://yc-oss.github.io/api/batches/summer-2019/zergo.json"
  },
  {
    "id": 13101,
    "name": "Segmed",
    "slug": "segmed",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/039d6d3be003fbf11b200cdc4996dd94be14fef9.png",
    "website": "https://segmed.ai",
    "all_locations": "Palo Alto, CA, USA; Remote",
    "long_description": "Segmed provides at-scale access to novel clinical data globally, offering millions of diagnostic-grade medical images to accelerate innovation and mature the evidence needs of life sciences and technology industry.\r\n‍\r\nOur solutions allow you to access a Real World Data (RWD) network to facilitate rapid discovery and investigational capability of imaging data, development of early disease detection & prediction models, improved patient recruitment and reduced operating burden to access therapeutic data ecosystem.",
    "one_liner": "Real-World Data for Health Innovation",
    "team_size": 32,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1583860791,
    "tags": [
      "Health Tech",
      "Healthcare",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2020",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/segmed",
    "api": "https://yc-oss.github.io/api/batches/winter-2020/segmed.json"
  },
  {
    "id": 13220,
    "name": "Simple Strips",
    "slug": "simple-strips",
    "former_names": [
      "Simple Strips (Lambert Labs Inc.)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b48d64634d795b4a612106fa51ef61ddc04d681.png",
    "website": "https://simplestrips.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Low-cost blood glucose test strips scanned with a smartphone camera…",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1583979245,
    "tags": [
      "Health Tech",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2020",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/simple-strips",
    "api": "https://yc-oss.github.io/api/batches/winter-2020/simple-strips.json"
  },
  {
    "id": 13406,
    "name": "Synapsica Healthcare",
    "slug": "synapsica-healthcare",
    "former_names": [
      "Synapsica Technologies",
      "Synapsica Healthcare Inc"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae83920ac4eee163846bdc260d3911efe906c4d2.png",
    "website": "https://synapsica.com/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "",
    "one_liner": "AI-enabled automation of diagnostic radiology workflow and reporting.",
    "team_size": 30,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1583815450,
    "tags": [
      "Marketplace",
      "SaaS",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2020",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "India",
      "South Asia",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/synapsica-healthcare",
    "api": "https://yc-oss.github.io/api/batches/winter-2020/synapsica-healthcare.json"
  },
  {
    "id": 13442,
    "name": "Isabl",
    "slug": "isabl",
    "former_names": [
      "Isabl Technologies"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ee5c89ed172cfb330b2cb9f0f5e0f1a93886387.png",
    "website": "http://isabl.io",
    "all_locations": "New York, NY, USA; Remote",
    "long_description": "Isabl has developed software that can analyze the entire genome of cancer patients.\r\n\r\nToday, when people get cancer, they get a genetic test of their tumor that analyzes only a few possible mutations. With Isabl, you run the tumor through an Illumina sequencer and get the whole genome, then our software is able to analyze all the mutations.\r\n\r\nOur breakthrough technology provides unprecedented clarity into tumor biology to aid treatment planning. This opens up opportunities for precision diagnostics, disease surveillance and biomarker discovery.",
    "one_liner": "Cancer tests based on whole genome and transcriptome data.",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1652922754,
    "tags": [
      "Biotech",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2020",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/isabl",
    "api": "https://yc-oss.github.io/api/batches/winter-2020/isabl.json"
  },
  {
    "id": 13506,
    "name": "Nomic Bio",
    "slug": "nomic-bio",
    "former_names": [
      "nplex biosciences"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3005075624cbc032b9abdd1525e6ec3201158f5.png",
    "website": "http://www.nomic.bio",
    "all_locations": "Montreal, QC, Canada",
    "long_description": "Nomic is doing for protein profiling, what Illumina did for DNA sequencing. Our core technology, the nELISA, is a next-gen immunoassay platform that transforms the ELISA into a high-throughput, high-content, and high-versatility tool. \r\n\r\nToday we developed the nELISA for high-throughput drug discovery scientists, enabling them profile 100s of proteins at 10x higher throughput and 10x lower cost compared to existing solutions. We're offering the nELISA through early access programs to HTS groups in top pharmas as well as pioneering biotechs in the space.\r\n\r\nOur goal is to create a ubiquitous technology that consolidates the broad range of legacy immunoassay toolkits that scientists use today with a single platform that can carry the science end-to-end, from discovery all the way to the clinic. \r\n\r\nWe're a team of engineers, biologists, and highly-skilled lab operators that are looking to grow quickly to keep up with customer demand but also to continue developing our core technology, scale our multiplexing/throughput, and build our software stack. We're hiring on a number of positions including engineering, software, biology, and ops. Come talk to us!",
    "one_liner": "Nomic is doing for proteins what Illumina has done for DNA",
    "team_size": 24,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1583898031,
    "tags": [
      "Nanotechnology"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2020",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/nomic-bio",
    "api": "https://yc-oss.github.io/api/batches/winter-2020/nomic-bio.json"
  },
  {
    "id": 21737,
    "name": "LSK Technologies",
    "slug": "lsk-technologies",
    "former_names": [
      "LSK Technologies Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca1d558dc356d3f2e123fbc02692cf8bafa1a131.png",
    "website": "https://www.lifesci-key.com/",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "",
    "one_liner": "A diagnostic lab in a box",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1599762607,
    "tags": [
      "Health Tech",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Acquired",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/lsk-technologies",
    "api": "https://yc-oss.github.io/api/batches/summer-2020/lsk-technologies.json"
  },
  {
    "id": 22080,
    "name": "Orange Health Labs",
    "slug": "orange-health-labs",
    "former_names": [
      "Orange Health"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3e07e4f8af878b1c646ca1ca04c557bb4e10c4a8.png",
    "website": "http://www.orangehealth.in",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Orange Health Labs is India’s leading on-demand diagnostics lab for urban consumers, offering 30-minute at-home sample collection and 6 hour reports across the top cities of India \r\n\r\nLaunched in January 2021, Orange Health Labs is amongst the most loved healthcare brands in India and is backed by some of the world’s leading investors like Accel, General Catalyst, Y Combinator, Bertelsmann India, Amazon, and others. ",
    "one_liner": "India's Fastest Diagnostics Service",
    "team_size": 1100,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1599762607,
    "tags": [
      "Consumer Health Services",
      "Health Tech",
      "Healthcare",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/orange-health-labs",
    "api": "https://yc-oss.github.io/api/batches/summer-2020/orange-health-labs.json"
  },
  {
    "id": 22700,
    "name": "Moichor",
    "slug": "moichor",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d684e5402c05c9cc17faca949952294cf3f7e3e0.png",
    "website": "https://moichor.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Leveraging AI to provide veterinarians with more accurate and affordable diagnostics.  \r\n\r\n\r\n",
    "one_liner": "AI Powered Animal Diagnostics",
    "team_size": 29,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1610738476,
    "tags": [
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/moichor",
    "api": "https://yc-oss.github.io/api/batches/winter-2021/moichor.json"
  },
  {
    "id": 23146,
    "name": "Redcliffe Lifetech",
    "slug": "redcliffe-lifetech",
    "former_names": [
      "Redcliffe Lifesciences"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9e3c4bc934297fbdde47eea1cf4c9de32e1a325.png",
    "website": "http://redcliffelabs.com",
    "all_locations": "Delhi, DL, India; Gurugram, HR, India; Noida, UP, India",
    "long_description": "Redcliffe Labs (a unit of Redcliffe Lifetech Inc) provides diagnostics with a comprehensive portfolio approach both with routine and specialised test menus with advanced testing labs all over India. Its digital first approach with on-demand 1-hour home collection and same day report is disrupting the way diagnostics is delivered today and thus is the fastest growing in India. \r\n\r\nRedcliffe Labs is providing 3500+ tests across its wide network of labs and collection centres. The company has served about millions of Indians and is processing more than 250K+ test parameters daily. The test portfolio is very wide including routine pathology tests, advanced genetic screening, research-based DNA tests in reproductive health, cancer and wellness/fitness. The easy to interpret smart reports provide key health check-points, which can help in diagnosing and treating both chronic and acute diseases on time. Redcliffe Labs has pioneered Drone technology adoption in the diagnostic sector by opening up the first commercial corridor from Uttarkashi to Dehradun. The company currently has 30+ labs and 700+ authorised collection centres in more than 120 cities across India. \r\n\r\nRedcliffe's vision is to provide world-class diagnostic services to people across the Indian sub-continent in an affordable manner.",
    "one_liner": "Redcliffe Labs is India's Largest Omni-channel Diagnostics platform ",
    "team_size": 3500,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1614617903,
    "tags": [
      "Consumer Health Services",
      "Health Tech",
      "Digital Health",
      "Healthcare",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/redcliffe-lifetech",
    "api": "https://yc-oss.github.io/api/batches/winter-2021/redcliffe-lifetech.json"
  },
  {
    "id": 23511,
    "name": "Forcyte Biotechnologies",
    "slug": "forcyte-biotechnologies",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7b684971715c34dcf43972f00b40675ec273846.png",
    "website": "https://forcytebio.com/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "In a nutshell: many diseases are caused by how much your cells squeeze (asthma, fibrosis, others). We discover drugs that control how much cells squeeze, with ease, to treat disease.\r\n\r\nWe use patented bioMEMS technology to turn cell strength (cells' ability to pull/ squeeze) into a quantifiable metric in drug discovery, to help find better drugs for mechanical diseases. \r\n\r\nWe screen 100,000s of drugs against numerous contractile human cell types to comprehensively map human mechanobiology (the \"contractome\") and identify promising drug development starting points to deliver novel medicines to treat mechanically-driven diseases including asthma, hypertension, preterm labor, fibrosis, and others.\r\n\r\n",
    "one_liner": "Discover drugs that control how much cells \"squeeze\" to treat disease",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1614755480,
    "tags": [
      "Drug discovery"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/forcyte-biotechnologies",
    "api": "https://yc-oss.github.io/api/batches/winter-2021/forcyte-biotechnologies.json"
  },
  {
    "id": 23884,
    "name": "AOA Dx",
    "slug": "aoa-dx-inc",
    "former_names": [
      "AOA Dx Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/664577ac1be84d91114d755fa8d02fcd2a69deb8.png",
    "website": "https://www.aoadx.com/",
    "all_locations": "Denver, CO, USA; Cambridge, MA, USA",
    "long_description": "AOA Dx is developing the next frontier in early-stage cancer detection for women through our pioneering work in glycolipids and proprietary biomarker technology. ",
    "one_liner": "Blood Test for Early Detection of Ovarian Cancer ",
    "team_size": 25,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1624286416,
    "tags": [
      "Healthcare",
      "Diagnostics",
      "Women's Health"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": true,
    "app_answers": true,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/aoa-dx-inc",
    "api": "https://yc-oss.github.io/api/batches/summer-2021/aoa-dx-inc.json"
  },
  {
    "id": 24368,
    "name": "Yemaachi Biotechnology",
    "slug": "yemaachi-biotechnology",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f20c99ceb3dc4f5663a9b43329248c249511272.png",
    "website": "https://yemaachi.com/",
    "all_locations": "Accra, Greater Accra Region, Ghana",
    "long_description": "Yemaachi Biotech is diversifying and expanding access to precision cancer diagnostics and therapeutics by collecting  and sequencing samples from all across Africa, which is the most genetically diverse population on the planet. We then use this data to either optimize existing diagnostic tests, or help other companies discover new ones.\r\nWith our research activities based in Africa, we are able to leverage access to the most genetically diverse population on the planet to build a first-of-its-kind clinical and molecular knowledgebase on cancer among African people.",
    "one_liner": "Diversifying precision cancer diagnostics and treatments",
    "team_size": 16,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1627837386,
    "tags": [
      "Biotech",
      "Diagnostics",
      "Therapeutics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "Ghana",
      "Africa"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/yemaachi-biotechnology",
    "api": "https://yc-oss.github.io/api/batches/summer-2021/yemaachi-biotechnology.json"
  },
  {
    "id": 24445,
    "name": "Digistain",
    "slug": "digistain",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee811a143d9362213ecd8df87fca7780ce1945b8.png",
    "website": "https://digistain.co.uk/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "In the global fight against breast cancer, Digistain stands at the forefront, offering a beacon of hope to millions. Our journey began at Imperial College London, where ground-breaking research gave birth to a technology poised to revolutionize breast cancer diagnostics.\r\n\r\nThe Challenge: Every year, breast cancer affects 2.3 million individuals globally. Post-surgery, 60% of patients are advised to undergo genomic testing, an expensive and time-consuming process monopolized by a single lab in the U.S., costing around $4,000 and taking nearly two months. Consequently, only 5% undergo this vital testing. The rest, unable to access this crucial diagnostic step, often resort to chemotherapy—a treatment that, in one in four cases, is more harmful than the cancer itself.\r\n\r\nOur Solution: Digistain addresses this critical gap. Our technology transforms the current diagnostic process by enabling hospitals to analyze patient samples in-house using existing equipment, supplemented with our innovative technology. This approach offers near-instantaneous decision-making data, a stark contrast to the existing month-long waits. Central to our technology is a proprietary algorithm that identifies a unique spectral fingerprint of the tumour in the infrared spectrum, providing a personalized risk score. This score guides oncologists in selecting the most effective, individualized treatment plans, potentially reducing unnecessary chemotherapy and its harmful side effects.\r\n\r\nImpact and Potential: Our solution not only challenges the status quo in technology but also in accessibility. In a landmark government-commissioned study, Digistain demonstrated clinical evidence on par with the market leader, but at a fraction of the cost and time. Already making waves in clinical practice globally, with insurance reimbursement at leading cancer centers, our technology represents a paradigm shift in cancer care.\r\n\r\nRecognized by the Institute of Physics, the Royal Society, and Imperial College for our innovative contributions, and supported by entities like the NHS, Y Combinator, and the European Investment Bank, Digistain is more than a company—it’s a movement towards equitable, effective cancer treatment. With the potential to democratize access to life-saving diagnostics, Digistain is not just envisioning a better future for cancer patients; we are actively creating it.\r\n ",
    "one_liner": "Pioneering Breast Cancer Diagnostics for a Healthier Tomorrow",
    "team_size": 40,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1624636740,
    "tags": [
      "Medical Devices"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/digistain",
    "api": "https://yc-oss.github.io/api/batches/summer-2021/digistain.json"
  },
  {
    "id": 24450,
    "name": "Astek Diagnostics",
    "slug": "astek-diagnostics-inc",
    "former_names": [
      "Astek Diagnostics LLC"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cc751641f3edca70063a728f7fc978cc2df8169.png",
    "website": "http://astekdx.com",
    "all_locations": "Baltimore, MD, USA",
    "long_description": "Astek Diagnostics is building a platform (Eugris) that guides physicians in prescribing appropriate antibiotics for patients with bacterial sepsis in one hour. It is done by detecting the oxygen consumption of the bacteria",
    "one_liner": "One-hour antibiotic sensitivity testing",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1625157553,
    "tags": [
      "Microfluidics",
      "Medical Devices"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/astek-diagnostics-inc",
    "api": "https://yc-oss.github.io/api/batches/summer-2021/astek-diagnostics-inc.json"
  },
  {
    "id": 24622,
    "name": "Caire Health",
    "slug": "caire-health",
    "former_names": [
      "CAIRE"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/97361364dc226255ea7672c56e73b4967ef83a2e.png",
    "website": "http://cairehealth.com",
    "all_locations": "FL, USA",
    "long_description": "We believe that no emergency should have to wait. To make this a reality we build AI that instantly reads medical scans and enables critical care teams to make diagnoses better than radiologists. This saves lives by getting emergencies to treatment immediately and by discharging non-emergent patients quickly so the next emergency doesn’t have to wait either.\r\n",
    "one_liner": "Semi-Autonomous Diagnostics for Emergent Care",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1628310950,
    "tags": [
      "Artificial Intelligence",
      "Medical Devices"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/caire-health",
    "api": "https://yc-oss.github.io/api/batches/summer-2021/caire-health.json"
  },
  {
    "id": 24820,
    "name": "Medium Biosciences",
    "slug": "medium-biosciences",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f30f00dbe44cde67296a43e445c0bb0dc14f9b5.png",
    "website": "http://medium.bio",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We turn advances in AI and protein design into experimentally validated molecular tools, partnering with research teams and diagnostic developers to deliver high-performance affinity reagents in weeks, not months.\r\n",
    "one_liner": "AI-designed Affinity Reagents",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1630004252,
    "tags": [
      "Artificial Intelligence",
      "Machine Learning",
      "Biotech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/medium-biosciences",
    "api": "https://yc-oss.github.io/api/batches/summer-2021/medium-biosciences.json"
  },
  {
    "id": 24840,
    "name": "VedaBio",
    "slug": "vedabio",
    "former_names": [
      "LabSimply",
      "Labsimply",
      "Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f36960de43508b6e6c447cab7a3cfcb402d9411f.png",
    "website": "https://www.vedabio.com",
    "all_locations": "San Diego, CA, USA; Urbana, IL, USA",
    "long_description": "Syndromic testing powered by engineered CRISPR enzymes. Get comprehensive results in every doctor visit. More at www.vedabio.com",
    "one_liner": "CRISPR powered Diagnostics with results in minutes.",
    "team_size": 30,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1626385432,
    "tags": [
      "Hard Tech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/vedabio",
    "api": "https://yc-oss.github.io/api/batches/summer-2021/vedabio.json"
  },
  {
    "id": 25110,
    "name": "Spot Health",
    "slug": "spot-health",
    "former_names": [
      "Spot"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0ffec8c45537c093646d5b42339f3c6147d96cd7.png",
    "website": "https://spotdx.com",
    "all_locations": "Cincinnati, OH, USA",
    "long_description": "Spot is building the infrastructure to support the future of at-home diagnostics. Our fully white-labeled platform helps brands offer lab-analyzed diagnostic tests using at-home collection kits. Companies simply order tests via our API, and we handle the rest—the collection kits, the logistics, physician authorization, and the lab integrations.",
    "one_liner": "At-home diagnostics as a service",
    "team_size": 9,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1647881296,
    "tags": [
      "Telehealth",
      "Healthcare",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/spot-health",
    "api": "https://yc-oss.github.io/api/batches/winter-2022/spot-health.json"
  },
  {
    "id": 25285,
    "name": "Scout",
    "slug": "scout-2",
    "former_names": [
      "Uh-Oh Labs",
      "Scout (formerly Uh-Oh Labs)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aef2a50967bbb0e1e0f4bc9ebba4727befed3822.png",
    "website": "http://scouthealth.com",
    "all_locations": "Santa Clara, CA, USA",
    "long_description": "Digital health holds a lot of potential but is ignoring a growing problem: diagnostic testing. Without this data, providers and organizations will be limited in the services they can provide patients at home.\r\n\r\nScout has developed a platform - Hub, test kits, and app - that delivers health testing at home with 10x lower development cost and 3x lower per-test price. Our patented tech also meets performance requirements for medical diagnoses and integrates with the current healthcare tech stack. Scout’s technology is poised to disrupt the outdated $33Bn diagnostic market by democratizing testing while dramatically improving the patient experience.\r\n\r\nScout has received $16M in non-dilutive funding from the NIH and other organizations to fully de-risk our platform, and our pipeline includes a diverse test menu for primary care (e.g. respiratory and sexual health), wellness (e.g. gut health), and chronic conditions (e.g. certain cancers). We have already received FDA authorization for our platform in clinical settings and are planning to launch our flagship Scout Hub in 2024.",
    "one_liner": "The smart testing platform that unlocks digital health at home.",
    "team_size": 12,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1645122247,
    "tags": [
      "Consumer Health Services",
      "COVID-19",
      "Health Tech",
      "Diagnostics",
      "Consumer Products"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/scout-2",
    "api": "https://yc-oss.github.io/api/batches/winter-2022/scout-2.json"
  },
  {
    "id": 25327,
    "name": "Starling",
    "slug": "starling",
    "former_names": [
      "Starling Medical"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdc25280245ff89ae883c07e3aa55cf751c7c285.png",
    "website": "https://starlingmedical.com/",
    "all_locations": "Houston, TX, USA",
    "long_description": "Starling is building a urine diagnostic remote patient monitoring platform that seamlessly integrates into anyone's bathroom routine.  By detecting early changes in a patient's urine using our toilet indwelling mass spectroscopy device, our platform is aiming to prevent hospitalizations from numerous conditions like recurrent UTIs, BPH exacerbations, or diabetes. We do this while creating significant new annual revenues for our clinician partners from remote patient monitoring reimbursements without requiring any significant changes in a staff's day to day schedule. ",
    "one_liner": "AI enabling digital urine diagnostics in the home",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1644279781,
    "tags": [
      "Machine Learning",
      "Medical Devices",
      "Digital Health"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/starling",
    "api": "https://yc-oss.github.io/api/batches/winter-2022/starling.json"
  },
  {
    "id": 26751,
    "name": "Signatur Biosciences",
    "slug": "signatur-biosciences",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3bad55d9462a3252670af9b86ed4d9abc2a388f4.png",
    "website": "https://www.signatur.bio/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "We make precision diagnostics more accessible, starting with breast cancer prognosis. Current tests that guide the use of therapy are really slow and expensive because they need to be run in complex centralized facilities. Our tests are designed to be easily run by local hospital labs, reducing turnaround time from over three weeks to a few days and for a fraction of the price.",
    "one_liner": "Simple tests for complex diseases.",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1657207796,
    "tags": [
      "Biotech",
      "Healthcare",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/signatur-biosciences",
    "api": "https://yc-oss.github.io/api/batches/summer-2022/signatur-biosciences.json"
  },
  {
    "id": 27828,
    "name": "Scanbase",
    "slug": "scanbase",
    "former_names": [
      "Scanbase",
      "Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9177f461ffabba1796fab772ec9f376ad91bf4e.png",
    "website": "https://www.scanbase.com",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Scanbase makes it easy for medical companies to convert photos of rapid diagnostic tests into results. We do this by providing a simple API that any medical company can access.\r\n",
    "one_liner": "The API for Diagnostic Test Analysis (COVID-19, FLU, RSV, STD,…",
    "team_size": 10,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1670991822,
    "tags": [
      "Machine Learning",
      "Computer Vision",
      "Health Tech",
      "Telemedicine",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/scanbase",
    "api": "https://yc-oss.github.io/api/batches/winter-2023/scanbase.json"
  },
  {
    "id": 28859,
    "name": "MICSI",
    "slug": "micsi",
    "former_names": [
      "MICSI (Microstructure Imaging, Inc)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/29d35560d45b90c5227b12877556942576e43627.png",
    "website": "https://www.micsi.co/",
    "all_locations": "New York, NY, USA",
    "long_description": "MICSI is introducing AI software that doubles resolution and halves scan time. This breakthrough enables imaging centers to significantly enhance their capacity and patient throughput, potentially saving countless lives and generating an additional $2 million of revenue per MRI scanner. Our initial offering serves as a stepping stone toward the company’s larger vision of transforming the MRI into a truly quantitative instrument that is capable of providing highly reproducible data for more accurate diagnoses and patient management. ",
    "one_liner": "Higher resolution MRI with faster scan times.",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1687381964,
    "tags": [
      "Computer Vision",
      "Medical Devices",
      "Healthcare"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/micsi",
    "api": "https://yc-oss.github.io/api/batches/summer-2023/micsi.json"
  },
  {
    "id": 28891,
    "name": "Numen",
    "slug": "numen",
    "former_names": [
      "Cleancard"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/801ff758c035f5849acfdcd35329ec161bd30cef.png",
    "website": "https://www.numen.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Engineering a future without cancer deaths.",
    "team_size": 18,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1691571179,
    "tags": [
      "Machine Learning",
      "Biotech",
      "Healthcare",
      "Diagnostics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/numen",
    "api": "https://yc-oss.github.io/api/batches/summer-2023/numen.json"
  },
  {
    "id": 29484,
    "name": "Haplotype Labs",
    "slug": "haplotype-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7043e2a3ba867786a1c7649c0cda610207599ea.png",
    "website": "https://www.haplotypelabs.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "We're building the HaploHub: a SaaS platform for genetic testing labs, concierge medical practices, and payer/providers to: \r\n * predict disease risk for their patients based on proprietary or publicly available genetic models\r\n * securely host, manage, and interrogate the genetic data of their population\r\n * generate reports and run the most common inference algorithms (phasing, imputation, ibd, etc.) without writing code \r\n\r\n",
    "one_liner": "Personalized prevention using genetics and AI",
    "team_size": 1,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1707335059,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
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      "Fully Remote"
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  },
  {
    "id": 29694,
    "name": "AminoAnalytica",
    "slug": "aminoanalytica",
    "former_names": [],
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    "website": "https://www.aminoanalytica.com",
    "all_locations": "London, United Kingdom",
    "long_description": "We design point-of-care molecular diagnostics for emerging biological threats - in weeks, not 12+ months.",
    "one_liner": "The AI scientist for always-on biodefense",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1715962434,
    "tags": [
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      "Synthetic Biology",
      "Biotech",
      "Diagnostics",
      "Therapeutics"
    ],
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
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      "Diagnostics"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
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    "url": "https://www.ycombinator.com/companies/aminoanalytica",
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  },
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    "id": 31434,
    "name": "Adialante",
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    "website": "http://www.adialante.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We know how to improve cancer outcomes by 8x-10x: you catch it early. \r\n\r\nMRI is the most robust and powerful cancer-detection tool in the world, yet systems cost millions to purchase, take months to install, and require high levels of technical skill to operate. We've redesigned MRI from the ground up with new physics, algorithms, and hardware, all to bring cancer screening to the entire world. \r\n\r\nOur mobile MRI is an imaging clinic on wheels. No equipment to buy, no infrastructure needed. For a flat per-scan fee, any medical site can offer MRI cancer screening. Starting with prostate cancer. Then everything else.",
    "one_liner": "Cancer screening without barriers",
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    "industry": "Healthcare",
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    "batch": "Spring 2026",
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      "Diagnostics"
    ],
    "regions": [
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      "America / Canada",
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      "Partly Remote"
    ],
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    "url": "https://www.ycombinator.com/companies/adialante",
    "api": "https://yc-oss.github.io/api/batches/spring-2026/adialante.json"
  }
]
