Problem: 33% of drug candidates fail due to CNS side effects; predicting neurological drug effects is challenging. Solution: Multi-modal ML model predicting neurological drug efficacy + side effects from molecular structure + existing clinical data. Tech Stack: MemVerge: Process large molecular databases + patient data Comet: Track model versions, A/B test different architectures, monitor prediction confidence Leverage your drug discovery + protein classification experience Commercial angle: Direct value to pharma companies in preclinical screening
