Predicting temozolomide response in low-grade glioma patients with large-scale machine learning
Hanqin Du, Chayanit Piyawajanusorn, Ghita Ghislat, Pedro J. Ballester
This study uses machine learning on multi-omics data to predict temozolomide response in low-grade glioma patients, finding that miRNA-based models outperform conventional biomarkers.
BMC Methods · Sep 30, 2025Peer-reviewedBioinformatics