LEARNING OBJECTIVES

Describe how artificial intelligence methods can be used to investigate the human microbiome and uncover intricate relationships between the microbiome, dietary habits, and health outcomes.
Identify opportunities to use novel artificial intelligence techniques of natural language processing in the advancement of clinical nutrition research.
Utilize technology to improve nutrition support delivery.

PRESENTERS AND TOPICS
Machine Learning in Microbiome Research
Gail Cresci, PhD, RD, LD, FASPEN, Staff, Departments of Pediatric Gastroenterology and Inflammation & Immunity, Pediatric and Lerner Research Institutes; Director of Nutrition Research, Center for Human Nutrition; Associate Professor of Pediatrics, Cleveland Clinic Lerner College of Medicine at Case Western Reserve University, Cleveland Clinic, Cleveland, OH

Utilization of Natural Language Processing to Identify Novel Clinical Characteristics Associated With Malnutrition
David Seres, MD, ScM, PNS, FASPEN, Director of Medical Nutrition; Professor of Medicine, Institute of Human Nutrition, Columbia University Irving Medical Center, New York, NY

Development of a Nutrition Management Feeding Platform to Maximize Nutrient Delivery
Pierre Singer, MD, Emeritus Professor of Anesthesia and Intensive Care, Sackler School of Medicine, Tel Aviv University; Head of the Institute of Nutrition Research, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel

Moderator
Sarah Peterson, PhD, RD, Assistant Professor, Department of Clinical Nutrition, Rush University Medical Center, Chicago, IL

Level: Intermediate