AI RESEARCH
Predicting Neuromodulation Outcome for Parkinson's Disease with Generative Virtual Brain Model
arXiv CS.AI
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ArXi:2603.29176v1 Announce Type: cross Parkinson's disease (PD) affects over ten million people worldwide. Although temporal interference (TI) and deep brain stimulation (DBS) are promising therapies, inter-individual variability limits empirical treatment selection, increasing non-negligible surgical risk and cost. Previous explorations either resort to limited statistical biomarkers that are insufficient to characterize variability, or employ AI-driven methods which is prone to overfitting and opacity. We bridge this gap with a pre.