This episode focuses on machine learning and how it may help diagnose metabolic dysfunction-associated steatotic liver disease (MASLD). Host Aaron Lohr talks with Christos S. Mantzoros, MD, PhD, professor of medicine at Harvard Medical School and the editor-in-chief of the journal Metabolism. Dr. Mantzoros and his team presented their work at ENDO 2024 in Boston, and their abstract was title, “Accurate machine-learning-based diagnosis of at-risk MASH and MASLD subtypes using categorical, radiant boosting, and select clinical, biochemical, and metabolomic measurements: Building highly robust models with few variables through a multi-national, multi-center, biopsy-proven cohort.” Show notes are available at https://www.endocrine.org/podcast/enp86-machine-learning-and-steatotic-liver-disease — for helpful links or to hear more podcast episodes, visit https://www.endocrine.org/podcast