A team of researchers from Penn State and the University of Illinois Chicago has been awarded a grant from the U.S. National Science Foundation to employ biomedical research, clinical data, advanced artificial intelligence and mathematical modeling methods to ultimately support personalized medicine for people with Alzheimer’s disease.
The research team will use AI large language models to evaluate existing research on the disease and combine their results with clinical data to produce digital twin models — computer representations of patients or groups of patients — that will help the team map the trajectory of the disease as well as the impact of various treatments.
Using advanced mathematical modeling tools, the researchers will combine the results of the large language model with anonymized clinical data from the Alzheimer’s Disease Neuroimaging Initiative — which gathers data such as blood work, brain scans including functional MRI, and genetics and behavioral information for research use — to create digital twin models of patients with Alzheimer’s disease. They will produce digital twins at the population level, combing data from groups of people to understand the overall shared physiology of the disease, as well as models of individual patients. These strategies could include identifying factors in mid-life that could be preventable and reduce risk of later developing the disease, as well as treatment options once the disease begins to manifest.
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