National Institute on Aging 2R01AG070149-04

Multiorgan Photon Counting CT and Machine Learning to Elucidate Aging Mechanisms and Interventions

NIH awarded a grant for research using photon-counting CT and machine learning to study aging mechanisms and interventions, focusing on liver health and systemic aging.

Description

This NIH grant supports research on using advanced photon-counting CT imaging, AI-based aging clocks, and molecular profiling to study systemic aging, with a focus on liver health and its influence on aging in organs such as the heart, brain, and bone. The project involves longitudinal imaging, behavioral assessments, molecular profiling, and machine learning models to develop biomarkers and understand aging pathways. The project aims for direct translation to human studies using FDA-cleared PCCT platforms.

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