NIH Hosts Workshop on AI in Precision Medicine for Diabetes
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 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.
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.”
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
- Xujing Wang, Ph.D., NIDDK, NIH – Email: xujing.wang@nih.gov – T: 301-451-2862
- Jia Nie, Ph.D., NIDDK, NIH – Email: jia.nie2@nih.gov – T: 301-123-4567
- Mark Dennis, The Scientific Consulting Group, Inc. – Email: mdennis@scgcorp.com – T: 301-670-4990
