June 24-25 | Boston, MA
2024
Thank you for attending the Symposium!
Key sessions:
- Keynote Robbie Goldstein, MA Commissioner of Public Health
- Fireside Chat with Isaac Kohane and Chris White of Microsoft
- AI/MI – Digital Twin Journey
- Large Language Model Expert Panel
- Next Generation Network queries (ENACT)
- What’s new in i2b2
- New User Interface, improved plug-in architecture
- New Data Export feature
Keynote
Robbie Goldstein, MD, PhD
Massachusetts Commissioner of Public Health
Followed by a panel discussion
Better together: The promise and challenges of linking hospital and public health data.
Moderator – Nadine Fornelos Martins, PhD, Executive Director of Research Initiatives for MassCPR, Harvard Medical School
Shoba Nair, PhD, Director of Epidemiology, Boston Public Health Commission
Kris Cyr, Data Strategy Director, Massachusetts Department of Public Health
Jonathan Li, MD, Associate Professor of Medicine, Brigham and Women’s Hospital
Bill Adams, MD, Professor of Pediatrics, Boston University Chobanian & Avedisian School of Medicine
Griffin Weber, MD, PhD, Associate Professor of Medicine, Beth Israel Deaconess Medical Center
Fireside Chat
Generative AI in medicine, from general capability to optimal personalization.
This fireside chat brings together leaders in industry and academia to discuss the state-of-the-art of Generative AI in medicine, the role of prompting vs special-purpose tuning, and how to use private information for solving complex problems.
Chris White, PhD
Partner and Managing Director of Special Projects(opens in new tab) at Microsoft, Chris leads research teams with world-class specialists solving highly uncertain, complex problems. His group builds technologies to benefit society, including tools for digital safety, plurality, and evidence-based policy.
Isaac Kohane, MD, PhD
Inaugural chair of Harvard Medical School’s Department of Biomedical Informatics, whose mission is to develop the methods, tools, and infrastructure required for a new generation of scientists and care providers to move biomedicine rapidly forward by taking advantage of the insight and precision offered by big data.