AI for Obesity Research and Clinical Practice Course

Artificial Intelligence (AI) is revolutionizing medical practice and research, and there are more ways to use it than you think. Come to this half-day course to learn how to use AI to save time and money while improving accuracy in both research and clinical practice. Attendees will learn how to phrase clinical research questions in ways that AI requires to be able to perform tasks, what successful multi-site AI obesity projects look like, how to make data AI-ready, and what to look for when recruiting AI-trained collaborators to work on projects. Attendees will leave this course understanding how AI can be integrated into their research and how AI can be used to inform patient diagnosis and treatment.

This course is a ticketed event at the ObesityWeek conference requiring separate payment. All in-person course registrants will also receive on-demand recordings of the course at no additional fee. This half-day course confers up to 3.5 CME credits. MOC credits are not included. This and all CME events produced by The Obesity Society count towards Group One credit when applying for the American Board of Obesity Medicine exam.

Beverages are served at this event. Meals are not included. Please have breakfast before you arrive. A 15-minutebreak will happen at 10:45-11:00 am.

REGISTER FOR THIS COURSE IN THE OBESITYWEEK REGISTRATION SYSTEM.

Course Director
Diana Thomas, PhD, FTOS
Professor
U.S. Military Academy

Dr. Thomas is currently a professor of mathematical sciences at the United States Military Academy at West Point. She holds a joint appointment at the Pennington Biomedical Research Center and serves on the editorial boards for the European Journal of Clinical Nutrition, Nutrition and Diabetes and the American Journal of Clinical Nutrition. She has published over 150 peer-reviewed articles in exercise, fitness, nutrition, and body weight regulation relying on diverse mathematical methods ranging from differential equations to machine learning.

Course Co-Director
Leanne Redman, PhD, FTOS
Professor
Pennington Biomedical Research Center

Dr. Redman is a Professor of Clinical Research at Pennington Biomedical Research Center. She directs the Reproductive Endocrinology & Women’s Health Laboratory and conducts research to understand the intergenerational transmission of obesity.

Saturday, November 2, 2024

9:00am-9:15am

Diana Thomas, PhD, FTOS
Professor
U.S. Military Academy

Dr. Thomas is currently a professor of mathematical sciences at the United States Military Academy at West Point. She holds a joint appointment at the Pennington Biomedical Research Center and serves on the editorial boards for the European Journal of Clinical Nutrition, Nutrition and Diabetes and the American Journal of Clinical Nutrition. She has published over 150 peer-reviewed articles in exercise, fitness, nutrition, and body weight regulation relying on diverse mathematical methods ranging from differential equations to machine learning.

The Big Picture – How AI Is Changing Research and Clinical Practice

9:15am-10:00am

Satish Viswanath, PhD
Associate Professor
Case Western Reserve University

Satish Viswanath, PhD, specializes in AI applications for gastrointestinal cancers and digestive diseases, focusing on image analytics, radiomics, and machine learning. His innovative AI tools enhance imaging measurements with molecular and pathologic information, improving risk stratification and disease modeling. With nearly 50 journal publications, 100 conference papers, and 10 patents, he’s recognized as an expert in medical image analysis. He’s also an Associate Editor for 3 medical imaging journals and has received numerous awards, including a Fulbright Specialist Award and the SIIM Imaging Informatics Innovator Award. Continuously funded since 2016, his research is supported by organizations like the DOD/CDMRP and the NIH.

AI-Driven Solutions in Health Research

10:00am-10:45am

Christopher Hartshorn, PhD
Section Chief, Division of Clinical Innovation
NIH

Chris Hartshorn is the chief of the Digital & Mobile Technologies Section of the Clinical and Translational Science Awards (CTSA) Program Branch within NCATS’ Division of Clinical Innovation, where he manages and coordinates programmatic and research activities relevant to the section. Prior to joining NCATS, he served as a program director in the Division of Cancer Treatment and Diagnosis at the National Cancer Institute (NCI). During his tenure at NIH, he has guided and managed multiple programs including the NCI Alliance for Nanotechnology in Cancer and NIH Academic–Industrial Partnerships. A principal focus for Hartshorn has been establishing initiatives to bring care to more patients remotely by way of sophisticated multimodal analytical methods, artificial intelligence (AI), and novel biomedical technologies.

Generating AI-Ready Datasets for Biomedical Research

10:45 am – 11:00 am Break

11:00am-11:45am

Nikhil Dhurandhar, PhD, FTOS
Professor and Chair
Texas Tech University

Dr. Nikhil Dhurandhar is a physician and nutritional biochemist. He has been in the field of obesity treatment, clinical trials and basic science studies since 1983. He is a past president of the obesity society, Editor-In-Chief of the International Journal of Obesity, and Chair of the Department of Nutritional Sciences at Texas Tech University, Lubbock, TX.

AI Uses in Clinical Care

11:45am-12:30pm

Nicholas Clark, PhD
Associate Professor
Westpoint

Dr. Nick Clark received his PhD from Iowa State University in 2018. He has spent the last 6 years as an Associate Professor in Statistics and Data Science at the United States Military Academy where his focus is on program evaluation.

Evaluating Competencies in Data Science

12:30pm-12:45pm

Leanne Redman, PhD, FTOS
Professor
Pennington Biomedical Research Center

Dr. Redman is a Professor of Clinical Research at Pennington Biomedical Research Center. She directs the Reproductive Endocrinology & Women’s Health Laboratory and conducts research to understand the intergenerational transmission of obesity.

Building Effective AI Obesity Teams – Clinical Viewpoint