Empowering clinicians, medical researchers, and students to safely simulate Glioblastoma outcomes and optimize data-driven therapeutic strategies before real-world application.
Engineered for precision. Four tightly integrated modules forming a comprehensive decision-support pipeline.
Input patient KPS scores and age data to construct a 1:1 computational replica of the patient context, calculating a dynamic safety priority for objective analysis.
Simulate progressive treatments across a 12-week timeline. Set clear clinical goals—like a 50% tumor volume reduction—and track exact efficacy rates.
Render anatomically precise 3D brain regions from the cerebellum anterior lobe to the cerebrum. Interactively map tumor boundaries and track reduction rates.
Provide ranked treatment options based on real-world clinical databases. The algorithm computes an overall safety and efficacy score for personalized care.
A resilient, full-stack architecture prioritizing performance and strict clinical data compliance.
Functional architecture & hooks
Hardware-accelerated 3D rendering
Custom interface library
RESTful API endpoints
Numerical array processing
Random Forest ensemble models
Integrating real clinical data from the National Cancer Institute. Tested and trained across the TCGA, TCIA, and UPEN datasets.
Join the cohort of medical researchers and clinicians accelerating oncology pipelines with CerebraX's digital twin simulation environments.