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
A framework for how artificial intelligence (AI) tools could support effective health care policy implementation is proposed, using the implementation of Medicaid work requirements under the Budget Reconciliation Act of 2025 as an example.
E. McGinty, Yongkang Zhang, Fei Wang et al.· JAMA Health Forum· 0 citations
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