A joint task force of the American Society for Nutrition and the Academy of Nutrition and Dietetics has published an Artificial Intelligence and Machine Learning Resource Guide in The American Journal of Clinical Nutrition. The guide offers practical recommendations for nutrition professionals to adopt AI responsibly, covering governance, data quality, bias mitigation, and ethical standards. It outlines how to evaluate AI tools, highlights the need for basic AI literacy, and suggests collaboration with data scientists. The task force plans a follow‑up publication to explore sector‑specific AI challenges.

Operation Stork Speed, the FDA’s new initiative launched in March 2025, convened an expert panel in June to overhaul U.S. infant formula regulations. The panel’s three‑part report recommends updating nutrient specifications, establishing a centralized formula database, and replacing outdated safety...

A new study published in The Journal of Nutrition identifies the hormone asprosin as a potential predictor of weight and body‑composition changes in postmenopausal women. Analyzing data from more than 4,000 participants in the Women’s Health Initiative over three years,...