Speaker Profile
Biography
Karan Singhal is a leading researcher in artificial intelligence, specializing in the intersection of AI and healthcare. He currently heads the Health AI team at OpenAI, where he focuses on developing large language models (LLMs) that aim to make medical expertise universally accessible and ensure safety in high-stakes health applications.Before joining OpenAI, Singhal was instrumental in the development of Med-PaLM and Med-PaLM 2 at Google, AI models designed for medical question answering. These models were integrated into Google Cloud and received recognition in prominent publications such as Nature, Scientific American, The Economist, and the BBC.
Session Abstract – PMWC 2026 Silicon Valley
Track Co-Chairs:
- William Oh, Yale Cancer Center
- David Reese, Amgen
Patient-centric data, such as Real-World Evidence (RWE) and Real-World Data (RWD), has become critical in reshaping drug development and healthcare decision-making. Over the last few years, regulatory agencies like the FDA and EMA have increasingly embraced RWE/RWD for decision-making processes, influencing everything from new drug indications to post-marketing surveillance. The integration of RWE and RWD is not only supporting clinical trial design and regulatory approvals, but also enabling precision medicine by providing deeper insights into patient subpopulations and their outcomes
Sessions:
- TBA