Watch a panel of OM1’s clinical experts in cardiometabolic disease, immunology, and mental health as they explore how Artificial Intelligence (AI) can find phenotypic patterns and unlock insights hidden in real-world data.

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Extracting as much information as possible from real-world datasets is essential for understanding the complete patient journey. Subtle patterns in structured and unstructured data can provide insight into disease diagnosis, progression, treatment efficacy, and overall outcomes for subcohorts and individuals. Through digital phenotyping, AI can isolate these patterns to help us better address challenges in underdiagnosis or misdiagnosis, risk and safety, gaps in care, and opportunities for new treatment.

This webinar dives into how PhenOMTM, OM1’s AI-powered digital phenotyping platform, and real-world data can enrich and inform:

  • Subtype phenotyping
  • Enhanced diagnostic screening
  • Risk and treatment differences
  • Clinical trial enrollment


Chief Medical Officer

Dr. Gary Curhan is Chief Medical Officer at OM1, a practicing nephrologist in Boston and has published widely on the epidemiology of many medical conditions including cardiovascular disease, hypertension, kidney stones, gout, and others. Dr. Curhan is a graduate of Harvard Medical School and Harvard School of Public Health.

Chief Psychiatrist and Managing Director
Mental Health and Neuroscience

Dr. Carl Marci is the Chief Psychiatrist and Managing Director of Mental Health and Neuroscience at OM1.

Managing Director of Dermatology

Dr. Stefan Weiss is the Managing Director of Dermatology at OM1. He is a board certified dermatologist, served on several national medical advisory committees and has published widely on psoriasis and atopic dermatitis. Dr. Weiss is a graduate of Yale Univ., and received his MD and MHSc in Clinical Research from the Duke Univ. School of Medicine.

Managing Director of AI & Personalized Medicine
Data Solutions

Dr. Joseph Zabinski is Managing Director of AI & Personalized Medicine at OM1. He specializes in applications of advanced analytics to real-world data in healthcare and life science contexts. He holds a master’s degree in engineering management from Dartmouth College, and a doctorate in health analytics from the School of Public Health at UNC.

Production Partner


With specialization in chronic conditions, OM1 leverages its extensive, specialty clinical networks and an artificial intelligence (AI) platform to offer enriched health care datasets, research analytics, data modeling, decision support, and retrospective and prospective clinical studies.

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