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Pharmacogenomics-Driven Multimodal Data Integration Improves Predictions of Adverse Drug Reactions in Cancer Patients using Machine Learning

2025-09-23

Abstract excerpt

<title>Abstract</title> <p>Accurately predicting adverse drug reactions (ADRs) in cancer remains challenging. We applied a pharmacogenomics-driven machine learning framework that integrates genomic, environmental, and comorbidity data to enhance ADR prediction. Using UK Biobank, we analysed 26,235 antineoplastic-treated patients, identifying ADRs via ICD-10 codes. Features included GWAS-derived SNPs from 169 phar...

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Literature Corpus work: 8b9d85ff-acc1-5d05-a503-bb9c49c9953f
DOI: 10.21203/rs.3.rs-7431071/v1

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