A. Candiota

Advanced machine learning strategies for predicting therapy response in preclinical glioblastoma using longitudinal MRI

The findings suggest that DL, enhanced by transfer learning, has the potential to serve as a powerful non-invasive tool for the early prediction of treatment efficacy in glioblastoma, paving the way for more robust and personalized therapy monitoring.