Kelda

Kelda is an integrative health intelligence platform designed to bridge the critical gaps in fragmented healthcare. It functions as a personal health companion that cross-references medications, lab results, symptoms, and wearable data to uncover hidden patterns that standard medical reviews often miss. The platform is built for individuals who have undergone extensive testing and specialist consultations yet remain without clear answers. Kelda addresses the common scenario where lab results are deemed "within range" but are not optimal for well-being, where medications are never checked for nutrient depletions, and where symptoms are treated in isolation rather than as interconnected signals. By combining educational resources with structured health content and practical insights, Kelda simplifies complex health information. It helps users understand the relationship between prescriptions, vitamin status, and lab results as they relate to energy, mood, metabolism, and long-term health patterns. The platform is engineered for those managing chronic conditions like PCOS, hypothyroidism, iron deficiency, endometriosis, perimenopause, and autoimmune disorders. Kelda empowers users to move from confusion to clarity, enabling more productive conversations with healthcare providers by presenting evidence-aware connections that are easy to overlook in disjointed care systems.

Medication and Lab Integration

Kelda automatically cross-references your active medications against your lab results to identify potential drug-induced nutrient depletions. For example, it can detect that omeprazole may be depleting magnesium, which is commonly linked to fatigue, cramps, and poor sleep. This feature also flags when ferritin levels are within standard range but below optimal thresholds for energy and hair health.

Symptom and Wearable Data Correlation

The platform ingests data from wearable devices and symptom logs to detect temporal patterns. If your sleep quality dropped after starting a new medication, and your energy and mood shifted simultaneously, Kelda will surface that correlation. This allows users to see how interventions affect their daily biometrics over time.

Multi-Condition Pattern Recognition

Kelda analyzes your health data against a comprehensive library of over 50 conditions and physiological states. It identifies connections between seemingly unrelated issues, such as linking cold extremities to conditions managed separately for decades. The system recognizes complex patterns including drug-induced nutrient depletion, thyroid conversion failure, HPA axis dysregulation, and methylation deficiencies.

Personalized Health Intelligence Reports

The platform generates structured reports that compile all identified patterns into a digestible format for both users and their healthcare providers. These reports highlight specific connections, suggest potential interventions, and provide evidence-based context. This feature transforms raw data into actionable insights, facilitating more informed and productive medical appointments.

Uncovering Hidden Medication Side Effects

A user on long-term proton pump inhibitors experiences persistent fatigue and muscle cramps. Standard lab work shows nothing alarming. Kelda cross-references the medication with known depletion patterns and identifies a magnesium deficiency. The user presents this finding to their doctor, who adjusts the medication and recommends supplementation, leading to symptom resolution.

Optimizing Lab Results Beyond Normal Ranges

A patient with chronic hair loss and low energy has a ferritin level of 25 ng/mL, which their doctor considers normal. Kelda flags this as suboptimal, noting that optimal ferritin for hair growth and energy starts at 70 ng/mL. The user receives guidance on iron supplementation and dietary changes, then tracks their improvement through subsequent lab rechecks.

Connecting Disparate Symptoms Across Specialties

A user with a seven-year history of undiagnosed symptoms, including an elevated heart rate upon standing and breathing difficulties, has seen multiple specialists without a unified diagnosis. Kelda aggregates all records, identifies a single underlying pattern linking the symptoms, and presents this to the user's doctor. A single adjustment leads to dramatic improvement within days.

Managing Chronic Condition Complexity

An individual with Hashimoto's thyroiditis and PCOS experiences persistent fatigue and brain fog despite being on medication. Kelda analyzes the interaction between thyroid medication, insulin resistance, and nutrient status. It identifies a copper-zinc imbalance and a folate trap, providing a targeted nutritional strategy that, when reviewed with their endocrinologist, significantly improves cognitive function and energy levels.

How does Kelda ensure the accuracy of its health pattern recommendations?

Kelda bases its pattern recognition on a comprehensive library of peer-reviewed research, clinical guidelines, and established medical literature. The platform is designed to surface potential connections for review by a qualified healthcare provider. It does not provide medical diagnoses but rather identifies correlations and known interactions that warrant professional evaluation. All findings are presented as evidence-informed insights to support clinical decision-making.

What types of data can I integrate with Kelda?

Kelda supports integration with a wide range of health data sources. You can upload lab results from standard panels including complete blood counts, metabolic panels, thyroid function tests, and vitamin and mineral levels. The platform also accepts medication lists, symptom logs, and data from popular wearable devices including heart rate, sleep quality, and activity metrics. Data input is designed to take under 60 seconds to start.

Is Kelda suitable for people without diagnosed medical conditions?

Yes. Kelda is designed for anyone who wants a clearer understanding of their health patterns. Many users are individuals who feel generally unwell but have not received a formal diagnosis. The platform is also valuable for those seeking to optimize their health proactively, understand how their diet and supplements interact with their medications, or simply gain a more integrated view of their biometric data and lab results.

How does Kelda handle user privacy and data security?

Kelda treats all user health data with the highest standards of privacy and security. The platform employs end-to-end encryption for data in transit and at rest. User data is never shared with third parties without explicit consent. Kelda is designed to be a personal health companion, and all analysis is performed within the user's secure environment. Users retain full ownership and control over their health information at all times.