Novel big-data AI-assisted neuroprotection drug discovery

A collaborative project is proposed to establish a comprehensive big-data, AI-driven framework for discovering novel neuroprotective solutions.

The initiative will integrate biological predictive models with advanced in-silico, multisystem target identification to uncover actionable mechanisms in neurodegeneration.

Candidate solutions will be prioritized through AI-assisted in-silico and in-vitro confirmation workflows that enable rapid experimental validation. These datasets will feed reinforcement-learning loops that continuously refine predictive accuracy and therapeutic potential.

The project invites partners interested in advancing this integrated discovery ecosystem toward next-generation interventions in brain health and Parkinson’s disease.