AI/ML-Integrated Nutritional and Metabolic Multi-Omics in Cancer: A Systematic Review, Meta-Analysis, and Proposed Translational Framework

Abstract excerpt

Cancer is increasingly recognized as a metabolic disease influenced by nutritional factors, with multi-omics technologies and artificial intelligence (AI), particularly machine learning (ML), enabling integrative analyses of diet, metabolism, and tumor biology interactions. This study aimed to synthesize evidence on these approaches for understanding the nutrition–metabolism–cancer axis and assess their translatio...

Topics

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• Bioinformatics and Genomic Networks
• Cancer Genomics and Diagnostics
• Gastrointestinal Tumor Research and Treatment
• Gene expression and cancer classification
• 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

b4e1d405-e2aa-546e-9303-2907a54b6f00

DOI

10.20944/preprints202604.2006.v1