Precision Medicine 2023: Precision Medicine Without Borders

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Overview

Last year our annual conference, PM23: Precision Medicine Without Borders, focused on emerging topics as well as long-standing challenges at the intersection of precision medicine* and global health. For decades, global health scholars like the heroic Paul Farmer have grappled with and written about the challenges of improving individual and population health across borders, including designing “effector arms”** that are aware of the social roots and structural inequities that cause or exacerbate disease. Precision medicine recasts these familiar global health challenges in the molecular era, forcing us to confront foundational questions about how molecular diagnostics and treatments can be scaled and delivered globally, how biobanks should be designed, what variation is “normal,” and which technologies might help us cross the implementation gap. This conference provided a platform to discuss these supranational questions about global precision medicine.

To achieve these goals, we convened expert scientists from academia and industry who are developing new applications and technologies for precision medicine and global health. We framed these discussions around how best to improve precision medicine for all populations. As we have done in years past, we centered on elevating the patient voice.

Date

Tuesday, Sept 19, 2023
10:00am – 4:00pm

Location

The Joseph B. Martin Amphitheater, 77 Avenue Louis Pasteur, Boston MA 02115

Agenda

Time	Topic & Speaker(s)
10:00–10:05 AM	Welcome — Isaac Kohane Professor & Chair, Biomedical Informatics, Harvard Medical School Editor-in-Chief, NEJM AI
10:05–10:15 AM	Opening Remarks — George Daley Dean of the Faculty of Medicine Caroline Shields Walker Professor of Medicine Harvard Medical School
10:15–11:00 AM	Opening Keynote — Krystal Birungi Field Entomology Coordinator, Target Malaria Uganda Uganda Virus Research Institute
11:00 AM – 12:00 PM	PANEL 1 — Biobanking around the world Moderator: Elizabeth Karlson Professor of Medicine, Harvard Medical School Rheumatologist & Epidemiologist, Brigham & Women’s Hospital PI, Mass General Brigham Biobank Co-PI, All of Us Research Program Naomi Allen Chief Scientist, UK Biobank Professor of Epidemiology, Population Health, University of Oxford Zhengming Chen PI, China Kadoorie Biobank Richard Peto Professor of Epidemiology, Population Health, University of Oxford Keolu Fox Assistant Professor, University of California San Diego Co-founder, Native BioData Consortium Lili Milani Professor of Pharmacogenomics, University of Tartu Research Director, Estonian Genome Center
12:00–1:00 PM	LUNCH
1:00–2:00 PM	PANEL 2 — Bringing genomics into public health Moderator: Maha Farhat Gilbert Omenn Associate Professor of Biomedical Informatics, Harvard Medical School Associate Physician, Pulmonary & Critical Care Division, Massachusetts General Hospital Garrett Frampton Vice President, Computational Discovery, Foundation Medicine Jennifer Gardy Deputy Director (Malaria), Bill & Melinda Gates Foundation Marc Lipsitch Professor of Epidemiology, Harvard Chan School of Public Health Director, Center for Communicable Disease Dynamics
2:05–3:05 PM	PANEL 3 — The implementation gap Moderator: Allan Brandt Kass Professor of the History of Medicine, Harvard Medical School Noa Dagan Director of AI-driven Medicine, Clalit Innovation Lecturer, Ben Gurion University Paisan Ruamviboonsuk Clinical Professor of Ophthalmology, College of Medicine, Rangsit University, Bangkok, Thailand Milind Tambe Professor, Harvard University Computer Science Principal Scientist & Director, “AI for Social Good”, Google Research
3:10–3:55 PM	Closing Keynote — Ashish Jha Dean, Brown University School of Public Health Former White House COVID-19 Response Coordinator
3:55–4:00 PM	Closing Remarks — Arjun Manrai Assistant Professor of Biomedical Informatics, Harvard Medical School Deputy Editor, NEJM AI

Resources for DBMI’s International Scholars & Students

2023: Precision Medicine Without Borders

Video Playlist

Overview

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Agenda

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