Ilias Tagkopoulos, AI Innovation for Food Systems (AIFS) Director and PIPA founder convened with leading academic and federal scientists at the National Academies in Washington, D.C. to explore how Artificial Intelligence and Machine Learning can advance nutrition research and scientific discovery.
The expert meeting, funded by the Bill & Melinda Gates Foundation, brought together thought leaders, subject matter experts and stakeholders from across academia, the Food/Nutrition industry and government to discuss the current state and future direction of AI in accelerating nutrition R&D and enabling data-driven and science-informed policy and practice.
Can AI accelerate nutrition research through evidence synthesis and generation?
During his National Academies presentation titled, Evidence Synthesis in Food Systems: A farm-to-fork approach, Dr. Tagkopoulos emphasized:
“In the era of large language models and knowledge graphs, building accurate, explainable evidence synthesis tools that we can trust is instrumental for realizing their potential in public health policy and commercial agricultural applications. If we do it right, the impact will be transformative: accelerated innovation, better and faster evidence-based decisions, and reduced costs across our healthcare and food systems.”
On the first day of the two-day meeting of experts, Dr. Tagkopoulos discussed the limitations and challenges in currently available technologies for Nutrition R&D and elaborated on the opportunities for future research made possible through the combination of knowledge graphs with Large Language Models.
Learn more at the AIFS official website: https://www.aifs.ucdavis.edu/news-and-events?s=top-scientists-national-academies-washington-dc-ai-ml-nutrition-research
