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Article

Deep learning on genome-wide association studies to predict the patient-specific risk of radiation-induced erectile dysfunction.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology - 1 Jun 2026

Oh Jung Hun, Auer Paul, Hall William, Rosenstein Barry S, Deasy Joseph O, Kerns Sarah

Abstract excerpt

OBJECTIVE: Radiation-induced erectile dysfunction (RIED) is a frequent, unpredictable complication following radiotherapy for prostate cancer. We hypothesized that genome wide genetic variants and clinical data could be analyzed using a novel deep learning model that incorporates known biological components to improve the patient-specific prediction of RIED risk. MATERIALS AND METHODS: Germline DNA from blood...

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Identifiers

PMID: 41967608
DOI: 10.1016/j.radonc.2026.111531
PMCID: PMC13135471

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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