Precision-Prevention
Precision-prevention offers a transformative opportunity to reduce the growing global burden of dementia.
The next phase of dementia prevention requires computational frameworks that are biologically informed and harmonized across populations.
Our Focus
%20(1).avif)
%20(1).webp)
.webp)
Seizing the Precision-Prevention Moment
Dementia prevention stands at a decisive moment. The scientific foundations for multidomain risk reduction have been established, and new biological and digital tools now make precision both feasible and scalable.
The challenge is no longer whether prevention can work, but whether the field will organize itself to deliver decision-grade evidence that informs policy and practice. Advancing a harmonized precision-prevention framework requires alignment across researchers, national health authorities, global agencies, and funders.
FINGERPRINT
Decoding Precision Signatures in Alzheimer’s with Agentic AI - Optimal Therapeutic Strategy and Multidomain Intervention Guidance
Our Key Contributions
Decoding Precision Signatures in Alzheimer’s
Precision-Prevention
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 random-
ized trials and advances in biomarker discovery, the next phase of dementia pre-
vention requires computational frameworks that are biologically informed, har-
monized across populations, and capable of resolving who benefits from which
intervention, under what conditions, and at what intensity.
FINGERS-7B
FINGERS-7B, a 7-billion-parameter multi-omic foundation model pretrained on
8 trillion quality-aware, hierarchically structured, and semantically meaningful
tokens and 300K metabolite profiles curated from public gut-brain-relevant meta-
genomic archives, and fine-tuned on clinical data from the World-Wide FIN-
GERS (WW-FINGERS) dementia prevention network.
The Thinking Microscope
The Thinking Microscope is a deep reinforcement learning system where a single agent learns a unified policy to co-optimize computational sparsification, generative data sparsification, and optimal stopping. achieves an 8-fold speedup for positive cases and a 60-fold speedup for negative controls, often by analyzing less than 10% of the data, without loss of analytical accuracy.
Built on FINGERS
The World-Wide FINGERS network: 40+ trials, 30,000+ participants, 72 countries. The largest dementia prevention consortium ever assembled.
US$ 1 Million Prize Competition Aims to Revolutionize Alzheimer's Research by Leveraging Agentic AI Systems
