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AI-Powered Predictive Healthcare | PolyCypher Health

PolyCypher Health

Precision Health Intelligence 

Our Mission

Deliver a more personalized, predictive, participatory, and preventive healthcare solution for individuals by combining expert medical knowledge and information with a patient’s personal health data.

PolyCypher Health’s AI-driven platform improves upon the “predictive medicine” healthcare model by combining commonly known medical knowledge and information with an individual’s personal health information to analyze and predict one’s susceptibility to common chronic diseases that are often curable through early intervention and lifestyle changes.

This proactive vs. reactive approach to healthcare connects patients, providers, and health partners through a shared layer of predictive intelligence. By starting with genomic testing (learn more about our easy-to-use, in-home DNA collection kit), our platform translates complex biology into actionable medical insights that improve patient/physician engagement, guide better interventions, and guarantee healthier outcomes.

TEAM & ADVISORS

Decades of experience across genomics, AI, diagnostics, and healthcare.

Longevity should feel more human.

Gilead Kedem, MD Headshot


Biotech executive, physician-scientist, and bioinformatician. With 20 years of biotech industry experience in biology, precision medicine, and technology, Gilead pursued graduate studies in biomedical engineering at Johns Hopkins University and earned an M.D. from the Sackler School of Medicine at Tel Aviv University.
Scott Sauers Headshot


Data scientist, computational biologist, and researcher. While studying Alzheimer's disease at Washington University's Neurology Department, Scott built a pipeline to calculate thousands of polygenic scores and delivered the first real-world polygenic screenings for dozens of different diseases.
Edward Messick Headshot


Bioinformatics scientist and engineer with a decade of experience working on the cutting-edge of precision medicine, pharma, bioinformatics, and biotech. At Genomic Prediction, he pioneered the application of polygenic scores in a clinical setting.