Integrating artificial intelligence and optogenetics for Parkinson's disease diagnosis and therapeutics in male mice.

ABSTRACT: Parkinson's disease (PD), a progressive neurodegenerative disorder, presents complex motor symptoms and lacks effective disease-modifying treatments. Here we show that integrating artificial intelligence (AI) with optogenetic intervention, termed optoRET, modulating c-RET (REarranged during Transfection) signalling, enables task-independent behavioural assessments and therapeutic benefits in freely moving male AAV-hA53T mice. Utilising a 3D pose estimation technique, we developed tree-based AI models that detect PD severity cohorts earlier and with higher accuracy than conventional methods. Employing an explainable AI technique, we identified a comprehensive array of PD behavioural markers, encompassing gait and spectro-temporal features. Moreover, our AI-driven analysis highlights that op

SUBMITTER: Hyeon B 

PROVIDER: S-EPMC12370958 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature