Montage photo of Puerto Rico beach blending into El Yunque Rainforest

Program

1:30-2:00 PM

REGISTRATION AND BADGE PICKUP

2:00-3:20 PM

CHALLENGE KICKOFF & TUTORIAL
Therapeutic Actionability AI Challenge (RECORDED)

Profile photo of Emily Alsentzer
Emily Alsentzer Moderator
Assistant Professor, Stanford University
Profile photo of Samuel Finlayson
Resident, University of WA and Seattle Children’s Hospital
Profile photo of Shilpa Kobren
Associate Director of Rare Disease Analysis, Harvard Medical School
Profile photo of Cyril Zakka
Health AI Lead, Hugging Face

Even after receiving a diagnosis, rare disease patients often face a daunting, arduous, multi-year therapeutic odyssey to identify plausible treatments. We are launching the Precision Therapeutics Challenge to invite participants to tackle this pressing issue by building an automated system leveraging technologies such as LLM agents to transform a patient’s genetic diagnosis into a personalized, therapeutic actionability report. Successful submissions to this competition, due in November 2025, will address a wide spectrum of therapeutic paths, from identifying approved targeted therapies to exploring drug repurposing opportunities and highlighting candidates for cutting-edge interventions like gene therapy. Join us to learn more about the challenge goals and key biomedical and technical resources that teams can leverage for this task. This session will also include a hands-on tutorial on how to use Hugging Face tools.

3:20-3:30 PM

OPENING REMARKS

3:30-4:45 PM

PANEL 1
The Economics of AI

Profile photo of Christina Farr
Christina Farr Moderator
Managing Director, Manatt Health and GP, Scrub Capital
Editor-in-Chief, Second Opinion
Profile photo of Sachin Jain
CEO, SCAN Group and SCAN Health Plus
Profile photo of Vivian Lee
Executive Fellow, Harvard Business School
Profile photo of Anna Taylor
Associate VP of Population Health & Value Based Care, MultiCare Connected Care
Profile photo of Punit Soni
Founder and CEO, Suki

Ultimately AI services are a new expenditure in healthcare. Whether this additional expenditure gets bundled into existing services or is maintained as a supplemental and separate service will determine many of the incentives for innovation and dissemination of AI tools in healthcare. In this panel, experts from both sides of the reimbursement and value proposition for AI will discuss likely drivers in the near term perspective.

4:45-5:30 PM

FIRESIDE CHAT
AI-Driven Drug Development

Profile photo of Najat Khan
Chief R&D Officer and Chief Commercial Officer, Recursion
Profile photo of Isaac (Zak) Kohane
Isaac (Zak) Kohane Moderator
Professor & Chair, Harvard Medical School
Editor-in-Chief, NEJM AI
Profile photo of Marinka Zitnik
Assistant Professor, Harvard Medical School

A fireside chat with two remarkable leaders in AI-driven drug development from industry and academia about accelerating progress and remaining hurdles.

5:30-6:00 PM

BREAK

6:00-8:00 PM

WELCOME DINNER & REGISTRATION

8:00-9:00 AM

BREAKFAST & LATE REGISTRATION

9:00-9:05 AM

REMARKS

9:05-9:50 AM

OPENING KEYNOTE

9:50-11:05 AM

PANEL 2
Accelerating the Learning Health Systems Flywheel with AI

Profile photo of Brett Beaulieu-Jones
Assistant Professor of Medicine, University of Chicago
Profile photo of Brendan Carr
CEO, Professor, Mount Sinai Health Systems
Profile photo of Leora Horwitz
Professor, NYU Grossman School of Medicine
Director, Center for Healthcare Innovation & Delivery Science, NYU Langone Health
Profile photo of Ming Tai-Seale
Professor, School of Medicine, UC San Diego
Director, UC San Diego Center on Learning Health Systems Science

The integration of learning health systems and artificial intelligence presents substantial opportunity to improve healthcare delivery by creating create continuous feedback loops between clinical practice and research. The goal of enabling healthcare organizations to systematically learn from every patient interaction while maintaining the highest standards of care requires innovation in data integration, workflow optimization, and organizational change management. We’ll discuss what the current state of learning health systems with particular attention to the impact of AI on their future.

11:05-11:15 AM

QUICK BREAK

11:15 AM-11:45 PM

INVITED TALK

Profile photo of Robert Korom
Chief Medical Officer, Penda Health (Kenya)

11:45 AM-1:15 PM

LUNCH

1:15-2:15 PM

FIRESIDE CHAT 2
Patients Build the Future of Health AI

Profile photo of Hugo Campos
Patient Advocate
Profile photo of Andrea Downing
Andrea Downing Moderator
President & Co-Founder, The Light Collective
Profile photo of Dana Lewis
Founder, OpenAPS
Profile photo of Chethan Sarabu
Director of Clinical Innovation, Cornell Tech

Healthcare revolutions of the past 50 years began with patients who refused to accept the status quo.  Meet patients who have successfully sparked past revolutions to create transparent, open, and humane systems in health technology.  Learn how these expert patients are using and building AI to shape the future with their communities.

2:15-2:45 PM

COFFEE BREAK

2:45-4:45 PM

POSTER SESSION

  • Odd numbered posters from 2:45-3:45 PM
  • Even numbered posters from 3:45-4:45 PM
4:45-5:45 PM

FIRESIDE CHAT 3
Surgical AI

5:45-6:00 PM

BREAK

6:00-8:00 PM

DINNER BANQUET

8:00-9:00 AM

BREAKFAST

9:00-10:15 AM

PANEL 3
How is AI Affecting the Workforce?

Profile photo of Kenrick Cato
Professor, UPenn Nursing
Profile photo of Michael Cary
Chair of Nursing, Duke AI Health
Profile photo of Patricia Sengstack
Professor, Vanderbilt University School of Nursing

Large language models and other new AI-based innovations have shaken up almost every area of clinical care in a matter of just a few years. As we gain a better understanding of this ‘influx of AI’, increasingly more attention is paid to the effects it has had on the diverse roles that humans play in healthcare. In this panel, we focus on these effects that pertain to the healthcare workforce, and particularly on the nursing workforce. We hear from several of the leading figures in nursing informatics (both applied and research-oriented) and human resources officials who have seen these effects first-hand. Our discussion will include both a retrospective look at past successes and failures as well as perspectives about how AI will continue to alter the nursing workforce.

10:15-10:35 AM

SPOTLIGHT TALK 1

10:35-10:55 AM

SPOTLIGHT TALK 2

10:55-11:05 AM

QUICK BREAK

11:05 AM-12:05 PM

YEAR IN REVIEW

Profile photo of Pierre Elias
Assistant Professor, Columbia University Irving Medical Center
Medical Director for AI, NewYork-Presbyterian

12:05-1:30 PM

LUNCH

1:30-1:50 PM

SPOTLIGHT TALK 3

1:50-2:10 PM

SPOTLIGHT TALK 4

2:10-2:30 PM

SPOTLIGHT TALK 5

2:30-3:00 PM

INVITED TALK 2

3:00-3:30 PM

COFFEE BREAK

3:30-4:00 PM

INVITED TALK 3
Transforming Biomedicine with AI Physician-Scientists

Profile photo of Vivek Natarajan
Research Lead, Google

Recent developments in agentic, multimodal models with strong reasoning capabilities herald the development of AI physician-scientists. This talk will discuss some of the recent progress towards this and lay out how such capable AI systems might help accelerate disease understanding, develop new cures, and make healthcare accessible to everyone, everywhere.

4:00-5:15 PM

PANEL 4
What Should Medical Journals Be Publishing About AI?

Profile photo of Mary Beth Hamel
Mary Beth Hamel Moderator
Executive Editor, New England Journal of Medicine
Profile photo of Isaac (Zak) Kohane
Professor & Chair, Harvard Medical School
Editor-in-Chief, NEJM AI
Profile photo of Joseph Kvedar
Editor-in-Chief, npj Digital Medicine
Professor of Dermatology, Harvard Medical School
Profile photo of João Monteiro
Chief Editor, Nature Medicine
Profile photo of Roy Perlis
Editor in Chief, JAMA+ AI
Director, Center for Quantitative Health, MGH
Professor of Psychiatry, Harvard Medical School
Profile photo of Rupa Sarkar
Editor in Chief, Lancet Digital Health

What should be published in the fast moving field of AI in Medicine? How should we distinguish between checkpoints in performance as compared to clinically validated trials? Why and when should retrospective validations be reported? Hear answers and ask your own questions of editors from leading AI in medicine journals.

5:15-6:00 PM

BREAK

6:00-8:00 PM

DINNER BANQUET

8:00-9:00 AM

BREAKFAST

9:00-9:25 AM

DEBATE 1
AI Transparency

Profile photo of Catherine (Cait) Des Roches
Associate Professor of Medicine, Beth Israel Deaconess Medical Center
Profile photo of Marzyeh Ghassemi
Marzyeh Ghassemi Moderator
Associate Professor, MIT
Profile photo of Mark Sendak
Population Health & Data Science Lead, Duke Institute for Health Innovation
Co-Lead, Health AI Partnership

AI has greatly benefited from decades of academic research projects that release code and software as open source. This allows others to verify the code and easily extend it for new purposes. However, this kind of transparency does not always exist in the healthcare space where commercial entities need to protect their intellectual property. This can limit AI software evaluation that is so important for building trust for clinical decision support. This debate will explore both sides of the AI transparency issue and its impact on patient care.

9:30-9:55 AM

DEBATE 2
The Utility of Working with Doctors

Profile photo of Marzyeh Ghassemi
Marzyeh Ghassemi Moderator
Associate Professor, MIT
Profile photo of Maia Hightower
CEO and Founder, Equality AI
Profile photo of Arjun (Raj) Manrai
Assistant Professor, Harvard Medical School

Is it necessary for AI researchers to work with clinicians to do the most meaningful work in medical AI? Join us for this intentionally-contentious debate to hear both sides of the argument.

9:55-10:05 AM

QUICK BREAK

10:05-11:20 AM

PANEL 5
Build vs Buy?

Profile photo of Maia Hightower
Maia Hightower Moderator
CEO and Founder, Equality AI
Profile photo of Adam Landman
CIO and Senior VP, MGB
Profile photo of Sara Murray
VP and Chief Health AI Officer, UCSF Health
Profile photo of Suchi Saria
Founder, Bayesian Health and Associate Professor, Johns Hopkins

11:20 AM-12:05 PM

CLOSING KEYNOTE
Designing Health Data Management Systems that Benefit Patients and Society

Profile photo of Monica Bertagnolli
Former Director, National Institutes of Health and National Cancer Institute
Former Professor of Surgery, Harvard Medical School

AI tools have the potential to accelerate progress in healthcare delivery and research.  These tools depend upon comprehensive, accurate and timely data from the clinical care environment for their development and ongoing surveillance.  This talk will address the current state of clinical data access and quality, and outline strategies that can improve our ability to acquire fit-for-purpose data for health indications.

12:05-12:15 PM

CLOSING REMARKS

12:15-1:30 PM

LUNCH

END OF PROGRAM

MAY 9th
8:45-10:45 PM

OPTIONAL ON MAY 9TH: LAGUNA GRANDE BIOLUMINESCENCE KAYAK NIGHT TOUR

KAYAKING PUERTO RICO, FAJARDO

Join other SAIL attendees for a 2-hour kayak tour to experience the rare phenomenon of bioluminescence in Laguna Grande, one of 3 bio-bays found in Puerto Rico (and only 5 worldwide!). The glowing effect in the water is caused by dinoflagellates—microscopic organisms that emit a bluish-green neon glow in reaction to movement in the water. When planning your visit to this natural wonder, keep in mind that the glowing effect is better appreciated on dark nights, the later the better!

Plan to depart the hotel by 7:15 PM to arrive in Fajardo on time for the 8:45 PM tour. Transportation must be arranged separately.

Go to https://kayakingpuertorico.com/home/tours/bio-bay-kayak-tour/#1480108911067-bedc615c-e84b for more info and to buy tickets.

($59 per person. Children under the age of 6 are not permitted.)

MAY 10th
9:00 AM-3:00 PM

OPTIONAL ON MAY 10TH: CULEBRA CATAMARAN & SNORKEL TOUR DAY TRIP

east island excursions, fajardo

Join other SAIL attendees for a snorkeling and beach day trip to the famous Flamenco Beach on the island of Culebra. Snorkeling equipment and floating devices are provided, along with lunch, snacks, cocktails, beer and assorted beverages.

Plan to depart the hotel by 7:00am to arrive in Fajardo on time for the boat departure. Transportation must be arranged separately.

Go to https://eastislandpr.com/tours/culebra-island/ for more info and to buy tickets.

($142.50 per adult, $122.50 per child ages 4-11. Children under the age of 4 are not permitted. Use promo code “SAIL10” for discounted price.)