Artificial intelligence helps in the search for biomarkers for Alzheimer's
October 2020
University of Pennsylvania School of Medicine, Philadelphia, USA
Researchers of 12 research centers will collaborate to determine more precise diagnostic biomarkers and drug targets for Alzheimer´s disease. For the project, the teams will apply advanced artificial intelligence (AI) methods to integrate and find patterns in genetic, imaging, and clinical data from over 60,000 Alzheimer's patients. The project's first objective will be to find a relationship between the three modalities (genes, imaging, and clinical symptoms), in order to identify the patterns that predict Alzheimer's diagnosis and progression -- and to distinguish between several subtypes of the disease.
The investigators will then use those findings to build a predictive model of cognitive decline and Alzheimer's disease progression, which can be used to steer treatment for future patients.
Using advanced AI to discover diagnostic biomarkers and drug targets for Alzheimer’s
Christos Davatzikos
Added on: 11-12-2020
[1] https://www.pennmedicine.org/news/news-releases/2020/october/penn-medicine-researchers-use-artificial-intelligence-to-redefine-alzheimers-disease[2] https://www.technologynetworks.com/neuroscience/news/using-advanced-ai-to-discover-diagnostic-biomarkers-and-drug-targets-for-alzheimers-341638
