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Artificial Intelligence-Based Thematic Analysis of Biomedical Literature for Precision Nutrition.

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Bibliographic Details
Title:	Artificial Intelligence-Based Thematic Analysis of Biomedical Literature for Precision Nutrition.
Authors:	Day JL; Department of Mathematical Sciences, United States Military Academy, West Point, NY, United States., Beckman JR; Department of Mathematical Sciences, United States Military Academy, West Point, NY, United States., Nelson R; Department of Mathematical Sciences, United States Military Academy, West Point, NY, United States., Weeks Q; Department of Mathematical Sciences, United States Military Academy, West Point, NY, United States., Dorta J; Department of Mathematical Sciences, United States Military Academy, West Point, NY, United States., Doumbia M; Department of Mathematical Sciences, United States Military Academy, West Point, NY, United States., Thomas DM; Department of Mathematical Sciences, United States Military Academy, West Point, NY, United States. Electronic address: diana.thomas@westpoint.edu.
Source:	The Journal of nutrition [J Nutr] 2026 May; Vol. 156 (5), pp. 101472. Date of Electronic Publication: 2026 Mar 10.
Publication Type:	Journal Article; Review
Journal Info:	Publisher: Elsevier Country of Publication: United States NLM ID: 0404243 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1541-6100 (Electronic) Linking ISSN: 00223166 NLM ISO Abbreviation: J Nutr Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1541-6100
DOI:	10.1016/j.tjnut.2026.101472