Our software identifies image plagiarism and manipulation in life science articles š¬. Currently, we run a pilot program with journals, publishers, and universities. If you'd like to join or learn more about our company, check out our website.
imagetwin
166 posts
imagetwin
@ImageTwinAI
Imagetwin is an AI-based software that automatically detects image integrity issues in life science articles and enhances the peer-review procedure.
- Another update! š Our database has now been expanded! When using our software, your images will be compared against our database of over 50 million scientific images š§Ŗ. Stay tuned for more updates to come...
- UPDATE! Our software is now detecting irrelevant duplicates that are caused by merged/overlayed images, which up to now were detected as duplicates. We automatically detect and remove the irrelevant duplicates to save you time. #researchintegrity #scienceintegrity
- Major update at imagetwin! š The software can now detect vertical splicing in gel band images! AND, we have added a forensic toolbox to the detail view of duplicates. Stay tuned for more updates (soon)... Find out more: imagetwin.ai/posts/splicing
- Amazing findings! It's great to see that we can help identify these paper mill cases.Retraction of one of the "External Company" paper mill articles, a set of twenty papers that share images and citations. Found with the help of @ImageTwinAI. HT: @SmutClyde sciencedirect.com/science/articlā¦
- Update! imagetwin is now accessible via API, allowing seamless integration of our image screening service into existing processes. Explore our API documentation at imagetwin.ai/docs/api
- We're thrilled to announce our new partnership with @ImageTwinAI! Recognizing the damage of image manipulation in academia, we're committed to using cutting-edge tech to combat misconduct. Learn more about this integration here: eu1.hubs.ly/H07xryD0 #ImageManipulation
- We are proud to share the good news: Imagetwin is one of the Falling Walls winners in the category Science&Innovation Management š„³š¦¾ Cheers to the winners of the Science&Innovation Management category: @diabate17699096 @targetmalaria @swanseauni @bluerivercf @ambertools @ferstaniscuaski @parentinscience @boehringerde @joshmnicholson @scite @_mehakmumtaz @nitafarahany @imagetwinai @engflecha @laion_ai
- A little introduction to our software! imagetwin - AI-based software for detecting integrity issues in images
- Our mission is to increase quality and trust in science and research integrity and we would like to thank David Sholto (@addictedtoigno1) for working on that mission alondside us.
- Thank you @AnilOza16 for covering a topic as important as scientific integrity and mentioning us. We appreciate that our software has been valuable and impactful and we continue our work to bring in more improvements. #researchintegrity #publishingin a recent preprint an AI and a trained eye analyzed ~700 papers, looking for duplicated images The AI, @ImageTwinAI came out on top - showing the promise of such tools w/ @addictedtoigno1 @MicrobiomDigest @Image_Integrity nature.com/articles/d4158ā¦
- It was a great day with an even better outcome šš„³ Thanks @KargerPublisher for a great event and to @scientifyRES & @sciscore for the fantastic competition!!! ššAnd the winner of the #VesaliusInnovationAward is @ImageTwinAI. The runner-ups are @scientifyRES and @sciscore. Congratulations to all! š A big thanks to the startups, the jury members and our #sponsor @MC_InnoHub & #partners @STMAssoc and @VeluxStiftung š
- Thank you @NidhiSubs and @WSJ for shedding light on the topic of Research Integrity, which we are striving to increase at imagetwin.
- š Meet Alessandro and Aleksander, the newest additions to our talented team. With their expertise in AI, data science, and machine learning, we're gearing up for greater improvements ahead. #datascience #AI #researchintegrity
