In a groundbreaking initiative, the
National Institutes of Health (NIH) is spearheading a workshop titled “
Artificial Intelligence in Precision Medicine for Diabetes and Other Chronic Diseases.” This event is set to explore the transformative potential of
artificial intelligence (AI) and
machine learning (ML) in advancing
precision medicine, particularly for
diabetes and
chronic diseases.
The workshop seeks to unite
biomedical researchers and
AI/ML experts to tackle pressing challenges, identify crosscutting gaps, and seize opportunities in leveraging
AI/ML technologies. The focus is on enhancing
biomarker development,
drug discovery, and
diagnostics, ultimately paving the way for
personalized healthcare solutions. Recent strides in
AI/ML, including
generative AI and
Large Language Models, are poised to revolutionize
biomedicine.
Organizing Committee
The event is organized by a distinguished committee, featuring external co-chairs such as
Marcela Brissova from
Vanderbilt University,
Jeffrey Grethe from the
University of California, San Diego, and
Wei Wang from the
University of California, Los Angeles. They are joined by notable members from the
NIH, including
Eric Brunskill, Ph.D., and
Debbie Gipson, M.D., M.S.
Pre-workshop Speaker Series
A pre-workshop speaker series has been designed to stimulate discussions on
AI’s intersection with biomedicine. The series is divided into two parts:
- The Bio-Behavioral Dimensions of Diabetes Heterogeneity: Featuring Dr. Yao Qin from the University of California, Santa Barbara, discussing “Data-driven Machine Learning and Closed-loop Diabetes Care,” and Dr. Ashu Sabharwal from Rice University on “Bio-behavioral Pathways in Diabetes.”
- Advances in AI and Applications in Biomedicine: Featuring Dr. James Zou from Stanford University, focusing on “AI Agents in Biomedicine,” and Dr. Eran Halperin from the University of California, Los Angeles, discussing “AI Challenges and Opportunities across Data Modalities in Medicine.”
Event Details
The workshop is a hybrid event, allowing both in-person and virtual participation. It will be held at the
Neuroscience Center Building in
Rockville, MD. Although registration closed on
October 25, 2024, the event promises to be a pivotal moment in the integration of
AI/ML in precision medicine.
For more information, interested parties can access the
original article and additional resources such as the
Pre-Workshop Webinar 1 Flyer and
Pre-Workshop Webinar 2 Flyer.
Contact Information
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