Review
Open access
Jul 2026
Applying Artificial Intelligence and machine learning in precision nutrition
This Perspective synthesizes current AI/ML methodologies in PN, elucidates their interplay with the distinctive features of multi-omic and nutritional data, such as being compositional, episodic, context-dependent, and error-prone, and delineates nutrition-specific best practices for achieving robust, interpretable, and clinically actionable AI integration in research and practice.
Paraskevi Massara, J. Kirkland, I. Pagani et al.
· Nature Communications · 3 citations