The approaches developed by the first four institutional awardees of the T32 AIPrN training grant are described and applied strategies for interdisciplinary training, data integration, and methodological innovation are highlighted as the research community prepares to analyze and interpret data generated by major initi...
Saurabh Mehta, S. Huey, Paraskevi Massara et al.· Journal of NutriLife· 0 citations
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, an...
Paraskevi Massara, J. Kirkland, I. Pagani et al.· Nature Communications· 3 citations
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