Discovery of predictive biomarkers for cancer therapy through computational approaches

2026/01/06 by Xin Wang, Julia Nguyen, Kristen Nader +10 · 1 voice
Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #Gene expression and cancer classification #Radiomics and Machine Learning in Medical Imaging #Statistical Methods in Clinical Trials

paper · doi:10.1038/s41571-025-01109-8

crossref issued 2026/01/06 · crossref published 2026/01/06 · crossref published-online 2026/01/06 · openalex publication_date 2026/01/06 · crossref created 2026/01/06 · openalex created_date 2026/01/08 · crossref deposited 2026/02/24 · crossref published-print 2026/03/01 · crossref indexed 2026/07/07 · openalex updated_date 2026/07/29

Citations

• Learning without Forgetting
• Biomarkers for Homologous Recombination Deficiency in Cancer
• Novel patterns of response under immunotherapy
• The repertoire of mutational signatures in human cancer
• Pembrolizumab for Early Triple-Negative Breast Cancer
• The future of digital health with federated learning
• A guide to machine learning for biologists
• A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction
• Transfer learning enables predictions in network biology
• Cancer biomarkers: Emerging trends and clinical implications for personalized treatment
• The Hallmarks of Predictive Oncology
• The Terry Fox Research Institute Marathon of Hope Cancer Centres Network: A pan-Canadian precision oncology initiative

Discussions

• Our new @nature.com Rev Clin Oncol Review maps how computational oncology is pushing predictive biomarker discovery forward: multimodal ML, transformers and foundation models, and frameworks that aim [bsky, 3 points, 0 comments]