FINGERS-7B: A Multi-Omic Foundation Model for Precision Biomarker Discovery

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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. Here we introduce 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 metagenomic archives, and fine-tuned on clinical data from the World-Wide FINGERS (WW-FINGERS) dementia prevention network.