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YALE UNIVERSITY

Team science approach to integrate machine-learning models and functional genomics to study aging in the context of Alzheimer's disease

Team science approach to integrate machine-learning models and functional genomics to study aging in the context of Alzheimer's disease is a funding opportunity from YALE UNIVERSITY, up to 792447, closing June 30, 2029.

Funder
YALE UNIVERSITY
Funding
792447
Deadline
Jun 30, 2029
(1065d left)

Overview

PROJECT SUMMARY Alzheimer's disease (AD) is an age-related neurodegenerative disease characterized by progressive cognitive decline and dementia. It accounts for approximately two-thirds of all dementia cases, and its pathogenesis may predate its clinical manifestations by decades. With ~44 million patients worldwide,…

Team science approach to integrate machine-learning models and functional genomics to study aging in the context of Alzheimer's disease | Go Fund It Now