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
2018 - How AI is making it easier to diagnose disease
TEDGlobal, TED Conferences
2019 - Machine learning and computational medicine for clinical development, patients and regulators
American Society for Clinical Pharmacology and Therapeutics Annual Meeting, Washington, D.C.
2018 - Patient-centered digital clinical endpoints with novel machine learning and AI systems
National Academy of Science, Engineering and Medicine,
Click image to zoom