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Support research that uses Artificial Intelligence (AI) and deep learning approaches for discovery and translational research.
2028 PAR-19-269: Cognitive Systems Analysis of Alzheimer's Disease Genetic and Phenotypic Data NOT-OD-23-165: Notice of NIH participation in the National Science Foundation Solicitation NSF 23-614: Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science RFA-AG-24-049: Artificial Intelligence in Pre-clinical Drug Development for AD/ADRD (R01 Clinical Trial Not Allowed) 1.Q In Progress DN 2021 AD Summit: 1.I Highlight: AI data analysis maps three distinct brain aging patterns Highlight: Could AI learn to spot warning signs of Alzheimer’s disease from electronic health records? Highlight: Putting the AI in NIA: New opportunities in artificial intelligence Highlight: AI speech analysis predicted progression of cognitive impairment to Alzheimer’s with over 78% accuracy Workshop: Cognitive Aging Summit IV Population Studies and Precision Medicine Artificial Intelligence and Machine Learning Consortium Artificial Intelligence and Technology Collaboratories: Awarded Pilot Studies Alzheimer's MultiOme Data Repurposing: Artificial Intelligence, Network Medicine, and Therapeutics Discovery Emory-Sage-Structural Genomics Consortium (SGC)-Jackson Laboratory (JAX) TREAT-AD center Indiana University School of Medicine (IUSM)-Purdue TREAT-AD center
- Establish a minimum of three (3) research programs applying AI/deep learning approaches to enabling precision medicine research including dementia subtyping, biomarker discovery and the development of personalized interventions.
- Ensure that these programs utilize data from diverse cohorts to ensure that AI/deep learning works well for individuals of all ancestries and demographics.
Summary of Key Accomplishments
NIA has supported several research programs and funding initiatives related to AI and deep learning approaches for discovery and translational research. The Artificial Intelligence and Technology Collaboratories for Aging Research (AITC) program is designed to serve as a national resource to promote the development and implementation of AI approaches and technology through demonstration projects to improve care and health outcomes for older Americans. AITC supports pilot studies and disseminates policies and best practices for effectively incorporating AI approaches for older Americans.
NIA also announced funding opportunities, including one that invites projects that propose to apply existing or newly developed AI/ML methods to various aspects of drug discovery and pre-clinical drug development to accelerate the identification, optimization, and selection of pre-clinical drug candidates for the treatment and prevention of AD.
The key accomplishments summary is current as of September 2025.