Fingerprint
Agentic AI
FINGERPRINT is an agentic AI platform that unifies genomics, proteomics,
metagenomics, and global prevention data from the WW-FINGERS network (72
countries, 40+ trials) into a single reasoning engine for Alzheimer’s biology.
Powered by a 7B-parameter foundation model, the Thinking Microscope classifier,
and an AlphaFold-GNINA-DiffDock design stack, it identifies mechanistic drivers,
delivers BBB-ready therapeutic candidates, and generates personalized
multidomain prevention plans through a federated, privacy-preserving architecture
that produces FAIR objects compatible with the AD Workbench and scalable
across globally representative populations, building an ethically-governed global
infrastructure for accelerated Alzheimer’s discovery.
FINGERS-7B
Precision-prevention offers a transformative opportunity to reduce the growing global burden of dementia by aligning interventions with individual biological risk profiles. Building on the foundational successes of multidomain randomized trials and advances in biomarker discovery, the next phase of dementia prevention requires computational frameworks that are biologically informed, harmonized across populations, and capable of resolving who benefits from which
intervention, under what conditions, and at what intensity.
