Research Areas
Key goals are:
Phase 1: Discovery and Development
- Discovering novel translational research findings from biomedical data by generative AI-enabled medical technology
- Developing AI technology for elucidating molecular disease mechanisms and real-world quantification of related clinical decision making
Phase 2: Credentialing and Translation
- Deploying and credentialing of AI models for enabling diagnostic tests, their replicability, and proof of their clinical utility
- Clinical translation of AI-enabled personalized diagnostics and therapeutics by software as a medical device digital trials
- Empowering patients, physicians, researchers, and regulators for making informed and equitable healthcare decisions
How AI is making it easier to diagnose diseases
TEDGlobal, TED Conferences
Machine learning and computational medicine for clinical development, patients and regulatorss
American Society for Clinical Pharmacology and Therapeutics Annual Meeting, Washington, D.C.
Patient-centered digital clinical endpoints with novel machine learning and AI systemss
National Academy of Science, Engineering and Medicine,
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