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National Institutes of Health

Novel Approaches to Advance Precision Aging and Cognitive Health

Funds machine-learning and adaptive-design methods that build individual profiles, aimed at personalised prevention for cognitive and brain health.

Between cyclesNational Institutes of HealthGlobal

Most prevention advice for cognitive decline is written for a population average, not for one person's actual trajectory, because the tools to build an individual profile at scale barely exist yet.

This notice funds the methods to close that gap: novel or newly applied study designs using machine learning, artificial intelligence and adaptive designs, aimed at discovering health and function prof

Novel or newly applied study designs, methods and analytic approaches — including machine learning, artificial intelligence and adaptive designs — that discover individual-level health and function profiles, spanning cellular to societal levels of analysis, in basic animal-model research and in profile development for humans, aimed at personalised prevention plans and interventions for cognitive and brain health in older adults.

CycleiHow often this grant runs — e.g. annually, on a rolling basis, or a one-off call.One-off
Next deadlineiThe next date applications are due. Rolling means you can apply any time.6 Oct 2026
Decision timeiTypical time from the deadline to the funder's decision.26 weeks
Project durationiHow long the funded work is expected to run.
Award typeiThe form of funding — grant, equity, loan, tax credit, etc.Grant
Match fundingiThe share of project costs you must cover yourself. 0% = fully funded.
Funding pooliThe total budget available across all awards in this round.

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Last verified: 25 Aug 2026Funder reference: RFA-AG-26-022Source: www.grants.gov