IGC Pharma leverages MINT-AD to identify risk factors driving Alzheimer’s

IGC Pharma (IGC) announced advances in MINT-AD, the Multimodal Interpretable Transformer for Alzheimer’s. Leveraging data from the Health and Retirement Study International Family of Studies, IGC Pharma aims to identify unknown socioeconomic risk factors and their interactions influencing aging and cognitive decline. This initiative is part of IGC Pharma’s broader mission to revolutionize Alzheimer’s treatment with precision medicine and AI-driven insights. Among the datasets used in MINT-AD training, IGC Pharma is leveraging 14 large-scale longitudinal aging and cognition studies spanning the USA, Africa, Mexico, China, Costa Rica, Puerto Rico, Chile, Brazil, England, Thailand, Indonesia, India, and Korea, all adhering to HRS protocol. This approach enables AI to identify critical socioeconomic factors contributing to early cognitive decline across populations with diverse sociocultural contexts, offering a new way to predict, stratify, and intervene before Alzheimer’s takes hold. This project is structured around three core objectives: Risk Stratification, using AI models to classify populations by Alzheimer’s risk levels for targeted prevention; Early Detection of Cognitive Decline, using historical socioeconomic, health, and psychosocial data to enable timely interventions; and Modeling Disease Progression Under Different Interventions, simulating how modifiable social factors impact Alzheimer’s progression to inform public health strategies and optimize treatment approaches.