Multi-Omics and AI-/ML-Driven Integration of Nutrition and Metabolism in Cancer: A Systematic Review, Meta-Analysis, and Translational Algorithm

Abstract excerpt

<h4>Background</h4> Cancer is increasingly recognized as a metabolic disease with strong nutritional determinants. Recent advances in multi-omics technologies and artificial intelligence (AI), especially machine learning (ML), have enabled novel integrative frameworks to decode complex interactions among diet, metabolism, and tumor biology. <h4>Objective</h4> To systematically synthesize evidence on how multi-om...

Topics

Open a Topic to create a Post that cites this publication.

• Bioinformatics and Genomic Networks
• Cancer Genomics and Diagnostics
• Cancer, Lipids, and Metabolism
• Gastrointestinal Tumor Research and Treatment
• Metabolomics and Mass Spectrometry Studies
• Nutrition, Genetics, and Disease
• Nutritional Studies and Diet
• Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work

c8f837f2-4b0e-59a7-ac65-ebd3dbeb2c90

DOI

10.1101/2025.07.29.25332402