Advancing Treatment Through Multi-Omics Data
NIH Awards $12.6 Million for USC AI Alzheimer's Study
The AI4AD2 project uses brain imaging and multi-omics data to find new treatment targets for the disease.
A digital representation of a human brain scan on a computer screen in a medical lab, showing neural patterns and data analytics.
Photo: Kronos Digital News
The National Institutes of Health awarded a $12.6 million grant to expand an AI-driven Alzheimer’s study [1]. The University of Southern California leads this multi-institutional project known as AI4AD2 [1][2]. Researchers will use artificial intelligence to decode the biological causes of the disease [1][3]. The initiative utilizes brain imaging and multi-omics data to predict how the disease progresses [1][2]. These tools help identify new targets for future treatments [1]. This award is part of a larger $30.7 million investment in USC-led research [1][3].
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Sources
- 1.↗
keck.usc.edu
https://keck.usc.edu/news/nih-investment-totaling-30-7m-will-expand-usc-led-ai-effort-to-decode-alzheimers-disease/
- 2.↗
news-medical.net
https://www.news-medical.net/news/20260401/NIH-funds-AI-project-to-advance-Alzheimere28099s-research-and-treatment.aspx
- 3.↗
bioengineer.org
https://bioengineer.org/nih-invests-30-7m-to-boost-usc-led-ai-research-cracking-alzheimers-code/
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Kronos Digital News Desk covers advancing treatment through multi-omics data and editorial analysis for Kronos Digital News.