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AI-Driven Precision Nutrition for Predicting Iron Deficiency Using Genomics, Polygenic Risk Scores, Dietary Patterns, and Personalized Dietary Recommendations

2026-07-06

Abstract excerpt

<h4>Background</h4> Iron Deficiency Anemia (IDA) is one of the most prevalent nutritional disorders globally and a leading cause of Disability Adjusted Life Years (DALYs). Conventional diagnostic methods fail to detect deficiencies at an early stage and rarely account for individual genetic predisposition. <h4>Methods</h4> This study proposes an end-to-end AI-driven precision nutrition pipeline integrating publi...

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Literature Corpus work
28be3080-85dc-54a5-baf4-f9b7e9f479ce
DOI
10.64898/2026.07.06.26357351
Open publication

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