Glioblastoma Patient

Glioblastoma, an aggressive brain cancer, is the focus of intense research aimed at improving diagnosis, treatment planning, and survival prediction. Current research heavily utilizes deep learning models, including various convolutional neural networks (CNNs) and transformer architectures, to analyze multi-parametric MRI scans, integrating imaging data with clinical and molecular information to predict survival, assess tumor heterogeneity, and even estimate MGMT promoter methylation status non-invasively. These advancements offer the potential for more precise and personalized treatment strategies, reducing the need for invasive biopsies and improving patient outcomes.