An AI Model Could Change How We Prevent Alzheimer’s

The sheer volume of biological data available, including genomic, protein, metabolic, and microbiome signatures, is impossible for researchers to make sense of on their own. Advances in AI technology, however, are allowing them to begin to interrogate this data for new clues about Alzheimer’s.

An MIT-based team developed an AI foundation model, an algorithm trained on vast datasets that can do many specialized tasks, called FINGERS-7B. The name references the FINGER dataset it was trained on — one of the largest lifestyle prevention trials that combines exercise, diet, and cognitive training — and the seven billion parameters, the number of internal dials and levers controlling the behavior of the model. 

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