SOURCE-LINKED INTELLIGENCE
ALZHEIMER'S MULTIOME DATA REPURPOSING: ARTIFICIAL INTELLIGENCE, NETWORK MEDICINE, AND THERAPEUTICS DISCOVERY - PROJECT SUMMARY PREDISPOSITION TO AD INVOLVES A COMPLEX, POLYGENIC, AND PLEIOTROPIC GENETIC ARCHITECTURE; FUR
ALZHEIMER'S MULTIOME DATA REPURPOSING: ARTIFICIAL INTELLIGENCE, NETWORK MEDICINE, AND THERAPEUTICS DISCOVERY - PROJECT SUMMARY PREDISPOSITION TO AD INVOLVES A COMPLEX, POLYGENIC, AND PLEIOTROPIC GENETIC ARCHITECTURE; FURTHERMORE, THERE ARE NO DISEASE MODIFYING TREATMENTS THAT SLOW THE NEURODEGENERATIVE PROCESS FOR AD. TRADITIONAL REDUCTIONIST PARADIGMS OVERLOOK THE INHERENT COMPLEXITY OF AD AND HAVE OFTEN LED TO TREATMENTS THAT ARE LACK OF CLINICAL BENEFITS OR FRAUGHT WITH ADVERSE EFFECTS. EXISTING MULTI-OMICS DATA RESOURCES, INCLUDING GENETICS, GENOMICS, TRANSCRIPTOMICS, INTERACTOMICS (PROTEI
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- recordType
- award
- region
- US
- value
- 3966759
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:26:51.628Z. This is not the publication date.