Dexter Hadley

Biography
Dexter Hadley, MDPhD, is a physician-scientist and nationally recognized leader in clinical artificial intelligence, precision medicine, and open biomedical data science. He currently serves as Director of Artificial Intelligence at the American Board for Precision Medicine, where he leads national strategy for evaluating, governing, and integrating AI into precision medicine education and clinical practice.Dr. Hadley trained at Penn, Stanford, and UCSF, working under Atul Butte on NIH-funded translational bioinformatics, drug discovery, and open-data initiatives. He later became the inaugural Chief of AI at the University of Central Florida College of Medicine, embedding AI into the medical curriculum and research infrastructure.He secured the Casey DeSantis Florida Cancer Innovation Grant before founding MammoChat, an open-source platform connecting patients to their clinical data. He now leads OncoNex, MammoChat's oncology-wide evolution, enabling drug discovery, trial matching, and medical dividends through governed reuse of real-world data.His work translates biomedical research into deployable, enterprise-grade clinical platforms.

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Talk
OncoNex: Precision Oncology That Pays Patients
OncoNex is a patient-centered precision oncology platform that turns real-world clinical data into shared evidence and medical dividends. Evolving from MammoChat's open-source foundation, it spans screening through survivorship, using interoperable standards, governed AI, and a verifiable ledger to keep patients central to discovery and value creation.

AI and Data Sciences Showcase:
OncoNex
OncoNex is a patient-centered precision oncology platform that transforms real-world clinical data into shared evidence and medical dividends. Evolving from MammoChat's open-source foundation, OncoNex uses interoperable standards, governed AI, and a cryptographically verifiable ledger to accelerate discovery, improve trial matching, and return value to patients across the oncology continuum.