Artificial Intelligence in Precision Medicine for Diabetes and Other Chronic Diseases: Challenges and Opportunities in Developing Predictive Models and Biomarkers for Disease Initiation, Progression, Prevention, and Subtypes

Event Details

Meeting Resources

• Pre-Workshop Webinar 1 Flyer (PDF, 301.3 KB)
• Pre-Workshop Webinar 2 Flyer (PDF, 292.55 KB)

Meeting Purpose

In the pursuit of precision medicine for diabetes and other chronic diseases, vast amounts of data and literature have been accumulated over decades. Artificial intelligence and machine learning (AI/ML) have made substantial strides in biomedicine, enhancing biomarker development drug discovery, improving diagnostics, and ultimately leading to more personalized and effective health care. Recent advances in AI/ML including those in generative AI and Large Language Models (LLMs), hold immense potential to further revolutionize biomedicine. This workshop aims to bring together biomedical researchers and AI/ML experts, to discuss the critical challenges, crosscutting gaps, and opportunities for and actionable items in leveraging AI/ML and other recent data science advances in precision medicine.

Meeting Objectives

• Be informed of the unique and transformative opportunities in precision medicine offered by recent advances in AI and other data science areas.
• Discuss the status of AI-based precision medicine for diabetes and other chronic conditions.
• Discuss community needs and gaps in AI-based precision medicine and how the NIH/NIDDK data science programs can help.

Organizing Committee

*External Co-Chairs

*Marcela Brissova, Vanderbilt University
*Jeffrey Grethe, University of California, San Diego
*Wei Wang, University of California, Los Angeles
Eric Brunskill, Ph.D., National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH)
Debbie Gipson, M.D., M.S., NIDDK, NIH
Daniel Gossett, Ph.D., NIDDK, NIH
Carol Haft, Ph.D., NIDDK, NIH
Jia Nie, Ph.D., NIDDK, NIH
Xujing Wang, Ph.D., NIDDK, NIH
Ashley Xia, M.D., Ph.D., NIDDK, NIH

Abstract Submission Deadline

September 15, 2024

Registration Deadline

October 22, 2024

Pre-workshop Speaker Series

The pre-workshop speaker series is intended to set the stage for discussions about the advancement of AI and data science and its applications to and impact upon precision medicine.

Part I: The Bio-Behavioral Dimensions of Diabetes Heterogeneity

The first series will be hosted on Thursday, October 17 from 11 – 1 p.m., EST, and will feature:
Dr. Yao Qin, University of California, Santa Barbara on “Data-driven Machine Learning and Closed-loop Diabetes Care”
Dr. Ashu Sabharwal, Rice University, on “Bio-behavioral Pathways in Diabetes”.

Flyer 1 (PDF, 301.3 KB)

Part II: Advances in AI and Applications in Biomedicine

The second series will be hosted on Thursday, October 24 from 1-3:00 p.m., EST, and will feature:
Dr. James Zou Stanford University, on “AI Agents in Biomedicine”, and
Dr. Eran Halperin, University of California, Los Angeles, on “AI Challenges and Opportunities across Data Modalities in Medicine”.

Flyer 2 (PDF, 292.55 KB)

Agenda

Day 1: Wednesday, October 30, 2024

8:30 a.m. – 8:45 a.m.

Opening, Welcome by NIDDK Leadership
William Cefalu, M.D., Director, Division of Diabetes, Endocrinology, & Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland

Robert Star, M.D., Director, Division of Kidney, Urologic, and Hematologic Diseases, NIDDK, NIH, Bethesda, Maryland

8:45 a.m. – 9:00 a.m.

Opening by Co-chairs: Scope and Charges

9:00 a.m. – 9:45 a.m.

Keynote Speaker (30-minute talk plus 15-minute Q&A)
Moderator: TBD

Hoifung Poon, Ph.D., General Manager, Microsoft Health Futures, Microsoft Research, Redmond, Washington

9:45 a.m. – 10:15 a.m.

Networking Break and Poster Setup

10:15 a.m. – 11:15 a.m.

Session 1: Recent Advances in AI and Applications to Biomedicine
Moderator: TBD

Tina Hernandez-Boussard, Ph.D., M.P.H., M.S., FACMI, Associate Dean for Research; Professor of Medicine, of Biomedical Data Science, of Surgery and, by courtesy, Epidemiology and Population Health; Director, Health Informatics, Stanford Center for Clinical and Translational Research and Education, Stanford School of Medicine, Stanford, California

Jie Liu, Ph.D., Assistant Professor of Computational Medicine and Bioinformatics, Assistant Professor of Electrical Engineering and Computer Science, Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan

Fei Wang, Ph.D., Professor of Population Health Sciences in Emergency Medicine, Emergency Medicine, Weill Cornell Medicine, New York, New York

Zhiyong Lu, Ph.D., FACMI, FIAHSI, Senior Investigator (with Tenure) at the NIH Intramural Research Program, Deputy Director for Literature Search at National Center of Biotechnology Information (NCBI), Bethesda, Maryland

11:15 a.m. – 11:45 a.m.

Session 1 Panel Discussion
Moderator: TBD

11:45 a.m. – 12:00 p.m.

Pick Up Lunch (labeled with name)

12:00 p.m. – 1:00 p.m.

Lunch Networking
Planning Committee Meeting
Poster Setup and Viewing
Senior Scientists/Program Officers and Young Scholar Networking

1:00 p.m. – 2:00 p.m.

Session 2: AI-based Precision Medicine in Diabetes and Other Chronic Conditions
Moderator: TBD

Miriam S. Udler, M.D., Ph.D., Physician Investigator at Center for Genomic Medicine, Massachusetts General Research Institute, Assistant Professor of Medicine at Harvard Medical School, Associate Physician Diabetes at Massachusetts General Hospital, Boston, Massachusetts

Hemang Parikh, Ph.D., M.S., Associate Professor at the University of South Florida, Tampa, Florida

Ronald C.W. Ma, M.B. BChir (Cantab), MRCP (UK), FRCP (London), FRCP (Edinburgh), FHKCP, FHKAM (Medicine), Professor and Head (Academic Affairs), Division of Endocrinology & Diabetes, Department of Medicine & Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Honorary Consultant Endocrinologist, Hospital Authority, Hong Kong, China

Wei-Qi Wei, M.D., Ph.D., FAMIA, Associate Professor in Biomedical Informatics in the School of Medicine at Vanderbilt University, Nashville, Tennessee

2:00 p.m. – 2:30 p.m.

Session 2 Panel Discussion
Moderator: TBD

2:30 p.m. – 2:45 p.m.

Break

2:45 p.m. – 3:15 p.m.

Trainee Flask Talk: 6–10 Flash Talks from Trainee Abstracts (2–3 minutes each)
Moderator: TBD

3:15 p.m. – 3:20 p.m.

Transitioning to Breakout Groups

3:20 p.m. – 4:20 p.m.

Breakout Group Discussions

4:20 p.m. – 5:00 p.m.

Reconvene for a Larger Discussion and Report Back

5:00 p.m. – 6:00 p.m.

Poster Session

6:00 p.m.

Adjournment

Day 2: Thursday, October 31, 2024

9:00 a.m. – 9:15 a.m.

Recap
Discussion with Co-chairs

Day 2 Opening Remarks
Gregory Germino, M.D., Deputy Director, NIDDK, NIH, Bethesda, Maryland

9:15 a.m. – 10:15 a.m.

Session 3: The NIH/NIDDK Data Science Programs in Supporting AI-based Precision Medicine, a Dialogue
Moderator: Carol Haft, Ph.D., NIDDK, NIH, Bethesda, Maryland

Cecilia S. Lee, M.D., M.S., Professor, Klorfine Family Endowed Chair, Director of Clinical Research, University of Washington, Seattle, Washington

Chen Li, Ph.D., Professor, Department of Computer Science, University of California, Irvine, California

Kyle Gaulton, Ph.D., Associate Professor, Department of Pediatrics, the Pediatric Diabetes Research Center at the University of California, San Diego School of Medicine, La Jolla, California

Rebecca Rodriguez, Ph.D., M.S., Clinical & Repository Program Specialist, Office of Clinical Research Support, Repository Director, Bethesda, Maryland

NIDDK Central Resources and Funding Programs
Xujing Wang, Ph.D., Program Director, Division of Diabetes, Endocrinology, & Metabolic Diseases, NIDDK, NIH, Bethesda, Maryland

10:15 a.m. – 10:45 a.m.

Session 3 Panel Discussion
Moderator: TBD

10:45 a.m. – 11:00 a.m.

Networking Break

11:00 a.m. – 11:45 a.m.

Keynote Speaker (30-minute plus 15-minute Q&A)
Moderator: TBD

Eran Segal, Ph.D., Professor of Computer Science, Department of Computer Science and Applied Math, Weizmann Institute of Science, Rehovot, Israel

11:45 a.m. – 12:00 p.m.

Pick Up Lunch (labeled with name)

12:00 p.m. – 1:00 p.m.

Lunch Networking

Breakout Group Discussions (on-going)

1:00 p.m. – 1:45 p.m.

Reports from Two-day Breakout Groups

1:45 p.m. – 2:00 p.m.

Break and Panelist Preparation

2:00 p.m. – 2:45 p.m.

Panelist Discussions
Moderator: TBD

Jeffrey Grethe, Ph.D., Associate Director, Neurosciences, University of California San Diego, La Jolla, California

Michael Snyder, Ph.D., Stanford W. Ascherman, Professor of Genetics, Chair, Dept. of Genetics Director, Center for Genomics and Personalized Medicine, Stanford University School of Medicine, Palo Alto, California

Wei Wang, Ph.D. Leonard Kleinrock Chair Professor, Department of Computer Science, University of California, Los Angeles, California

Talitha Washington, Ph.D., President of the Association for Women in Mathematics, Director and Lead Principal Investigator of National Data Science Alliance, Director of Data Science Initiative, Atlanta University Center (AUC) Consortium, Clark Atlanta University, Atlanta, Georgia

2:45 p.m. – 3:00 p.m.

Closing Remarks
Workshop Co-chairs
Dr. William Cefalu

3:00 p.m.

Adjournment

Travel

Hotel Accommodations

Bethesda North Marriott Hotel & Conference Center
5701 Marinelli Road
North Bethesda, MD 20852
Telephone: (301) 822-9200
Reserve a Room

Government Room Rate

A limited block of sleeping rooms for meeting participants has been reserved at Bethesda North Marriott Hotel & Conference Center. The rate is the rate of $261 per night for single occupancy, plus tax (13%). The room block will be in effect at the Government rate only until Tuesday, September 24, 2024, or until full, whichever comes first. Any room reservations received after this date will be accepted on a space- and rate-availability basis. Please be certain that the hotel provides you with a confirmation number for your reservation.

Reservation Dates

Book your arrival date as Tuesday, October 29, 2024, and departure as Thursday, October 31, 2024. If you require alternate dates, please contact Mark Dennis of The Scientific Consulting Group, Inc. (SCG).

Check-in

When making a reservation, please provide your room and bedding preferences. The hotel will assign specific room types at check-in, based on availability. Please be advised that requests are not guaranteed. Check-in time is 4:00 p.m., and checkout time is 12:00 p.m.

Cancellations

If you need to cancel your reservation, please do so 48 hours prior to your arrival date, or you will be charged a no-show fee for 1 night on your credit card.

Abstracts

*All presenters must register in advance for the conference. Registration is free. *

Submission Deadline

September 15, 2024

All Abstract Submission

All abstracts must be submitted via email to Mark Dennis (mdennis@scgcorp.com) of The Scientific Consulting Group, Inc., with “NIDDK AI Workshop” in the subject line.

For trainee travel awards, please find details and submit additional documents in here: https://dknet.org/about/ai_workshop_travel_award. The travel awards deadline is August 30, 2024.

Abstract Topics

Abstracts for oral or poster presentations are encouraged to present Advances in AI and applications in biomedicine, and AI-based Precision Medicine for diabetes and other chronic conditions. The topics could be but not limited:

• heterogeneous pathways and trajectories to disease,
• AI-based precision medicine for diabetes and other chronic conditions.
• molecular biomarkers & real-world needs and challenges.

Abstracts from trainees and early-stage investigators are particularly encouraged. 

Submitting Abstracts

Please follow the instructions below to format an abstract. (Note: Submissions will not be edited for spelling or grammar and will be accepted “as is.”)

• The abstract should be a Microsoft Word document that does not exceed 500 words(not including the abstract’s title, name and affiliation of all authors, and one table or figure).
• with 1-inch margins, typed single space, and using Times New Roman font; a 12-point font should be used for everything except the title.
• Please indicate whether you would like your abstract submission to be considered for an oral presentation only, a poster presentation only, or for either an oral or poster presentation.
• The abstract’s title should be typed in Title Case using bold 16-point fontand should clearly represent the nature of the investigation.
• List the author’s first and last names, degree, affiliation, city, and state. If more than one author is listed, include complete information for all authors and underline the presenting author’s name. Please indicate if the presenting author is a trainee or early-stage investigator.
• One table or figure may be included; however, the abstract may not be longer than one page, including the table or figure.
• The abstract file name should follow this format: primary author’s LastName_FirstWordOfTitle (e.g., Zucker Effects).

Presenters are welcome to submit abstracts previously presented in other venues, including work that has been delivered at other conferences or published within the past 2 years. If the work has been published, please include a full citation and a link to the paper.

Abstract Template:  LastName_FirstWordOfTitle.docx (DOCX, 20.42 KB)

All Abstract Acceptance Notifications

Applicants will be notified if their abstract has been accepted for a poster or oral presentation by approximately 10/01/2024. Detailed instructions regarding oral and poster presentations will be provided at the time of acceptance.