Chandan Seth Nanda

Drug-induced toxicity remains a leading cause of late-stage drug attrition and post-market safety concerns, underscoring the need for more predictive, mechanism-aware assessment tools. ToxiProofAI’s FlyWheelAI is an AI-driven pharmacogenomic engine designed to predict toxicity risk by integrating genomic variation, and biological pathway context. FlyWheelAI leverages curated pharmacogenomic datasets, gene–drug interaction networks, and machine learning models to identify genetic signatures associated with differential toxicity susceptibility. By modeling how genetic variability influences drug outcomes, FlyWheelAI enables early identification of at-risk populations and compounds with elevated safety liabilities. The platform is designed to support preclinical candidate prioritization, translational risk assessment, and precision safety strategies in clinical development. FlyWheelAI provides interpretable outputs linking predicted toxicity risks to underlying genomic and mechanistic dri