AI RESEARCH
Brain-WM: Brain Glioblastoma World Model
arXiv CS.CV
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ArXi:2603.07562v1 Announce Type: new Precise prognostic modeling of glioblastoma (GBM) under varying treatment interventions is essential for optimizing clinical outcomes. While generative AI has shown promise in simulating GBM evolution, existing methods typically treat interventions as static conditional inputs rather than dynamic decision variables. Consequently, they fail to capture the complex, reciprocal interplay between tumor evolution and treatment response.