FINGERS-7B to eradicate Alzheimer's symptoms

Alzheimer's disease is best addressed as early as possible, ideally before symptoms become apparent. To enable early, accurate risk prediction both for individuals and whole populations, a team of AI researchers, physicians, and scientists centered at MIT has released FINGERS-7B, the first AI foundation model built to make Alzheimer's preventable.

The team will present the model at ICLR, one of the largest AI conferences, on April 27th, 2026 in Rio de Janeiro.

FINGERS-7B integrates lifestyle, clinical, genomic, and proteomic data from tens of thousands of at-risk individuals to discover multi-omic biomarkers for preclinical Alzheimer's. On WW-FINGERS network datasets, it delivers 4× more accurate preclinical diagnosis and 130% better responder stratification than prior art. The model is open source and deployed in the AD Workbench.

The model is open source and is deployed in the AD Workbench, the secure cloud environment operated by the Alzheimer's Disease Data Initiative (ADDI) and used by Alzheimer's researchers worldwide.