LLMs and Nutrition: Building Reliable Health Information

INFORM seminars offer AOCS members a deeper look beyond the printed page. Each month, we expand on a featured INFORM magazine article through an in-depth conversation with the author, exploring the research, context, and implications behind the work.

New seminars are released every third Wednesday of the month and are exclusive to AOCS members. Join us to gain added perspective, hear directly from the researchers, and stay connected to the science shaping oils, fats, lipids, and related fields.

COURSE DESCRIPTION

In this INFORM seminar, Samantha Huey discusses her article “LLM for health information.” She examines how generative AI can surface unreliable or misleading health advice, the process of building models from trusted nutrition data, and the development of a chatbot designed to provide accurate, up-to-date guidance. The seminar also addresses the challenges of maintaining current recommendations and building public trust in AI-driven health tools.

MEET THE INSTRUCTOR

Dr. Huey’s research interests include using a precision nutrition perspective to elucidate and understand the connections between nutrition, the gut microbiota and immune function in maternal and child health and in particular how precision nutrition may apply in this context. She is investigating these questions in children and mothers who participated in two randomized controlled trials in Mumbai and South India, both of which examined the efficacy of consuming biofortified crops-based foods on growth, immunity, and cognition. Dr. Huey is also the Group Lead for Nutrition at the Cornell Joan Klein Jacobs Center for Precision Nutrition and Health and in this role works on a number of projects related to evidence synthesis, use of artificial intelligence and large language models, and the gut microbiome.