Artificial Intelligence for Alzheimer’s Disease Diagnosis
AtIGCPharma,we’recombiningdecadesof international research to improve the prediction,understanding,andtreatmentof Alzheimer’sdiseasethroughinnovativeapproacheslike MINT-AD,ourAI-powereddiagnostictool.
MINT-AD
Multimodal Interpretable Transformer for Alzheimer's Disease.
Empower Clinical Excellence
MINT-AD leverages decades of international research in genomics, clinical practice, and cognitive science into a clinical decision support tool.
Bringing World-Class AI Risk Prediction and Decision Support to:
• Physicians:
Providing timely insights for physicians serving communities without access to complex diagnostic infrastructure.
• Researchers:
Multimodal data analysis to identify potential risk factors and better understand disease progression.
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Our team harnesses the power of artificial intelligence to drive meaningful progress in understanding complex neurological diseases like Alzheimer’s. We design AI models that transform diverse clinical and research data into insights, helping reveal patterns and signals that might otherwise stay hidden.
AI Innovation for
Alzheimer’s Research
At the AlzInsights Summit 2, hosted by the Alzheimer’s Disease Data Initiative, IGC Pharma presented a live demonstration of aha™: the Agentic Harmonization Assistant—an AI initiative exploring how diverse Alzheimer’s datasets can be harmonized to support research insights. Recognized as a semifinalist in the AlzInsights AI Prize, aha™ reflects IGC.
Pharma’s commitment to advancing scalable, data-driven innovation that may help accelerate progress in Alzheimer’s research.
Data Integration & Purpose
A comprehensive data integration allows MINT-AD to identify subtle changes and detect early patterns of cognitive decline.
Cognitive tests
Cognitive tests
Neuropsychological evaluations, memory, & language attention,Listens, Technology That Cares
Omics Data
Omics Data
Genetics, specific, Biomarkers, epigenetics
Brain images
Brain Images
Magnetic Resonance Imaging (MRI), Computed Tomography scans, & PET
Clinical History
Clinical History
Family history, over 390 medical variables
Demographic
Demographic
Location, age, gender, living conditions and other socioeconomic conditions
Empowering Better Outcomes Through
Data-Driven Alzheimer’s Solutions
Reduce Diagnostic Uncertainty
Evidence You Can Trust: Interpretable, science-backed outputs with clarity around uncertainty.
Smart Recommendations, Personalized Insights
Helping reach underserved communities with efficient diagnostic support without requiring advanced infrastructure.
Integrate Effortlessly
Multidimensional data analysis helps uncover potential risk factors, revealing complex combinations of social, genetic, and lifestyle determinants.
Reduce inequality
Designed to improve diagnostic accuracy in settings where false negatives are common.
aha™: Agentic
Harmonization Assistant
High-quality prediction starts with high-quality data. aha™ automatically harmonizes clinical, imaging, sociodemographic, and molecular datasets for Alzheimer’s disease, transforming heterogeneous cohorts into a single, trustworthy dataset ready for advanced analytics and AI models.
Discover MINT-AD™
MINT-AD leverages decades of international research in aging, genomics, clinical practice, an