Leveraging “Digital Twins” to Predict Treatment Response in Brain Cancer

Despite decades of advancements in surgical techniques, chemotherapy, and radiotherapy, the clinical outlook for patients diagnosed with primary brain tumors remains sobering. While glioblastoma and other high-grade gliomas are relatively rare compared with other malignancies, they represent a disproportionate burden of cancer-related mortality. According to researchers at the University of Michigan, the lack of significant progress in survival outcomes necessitates a paradigm shift toward highly personalized, data-driven therapeutic strategies.