BiomarkersHumans493 male participantsCohort study

Multi-Omic Age Associations Identified With Artificial Intelligence (AI)

GSA 2025 Abstract

Abstract

There is substantial interest in using Machine Learning (ML) and Artificial Intelligence (AI) approaches to integrate multi-omics data to identify molecular factors associated with age. Multi-omic AI models can be used to predict “biological age” and to identify age-associated molecular features.

The paper

Evans D, Zheng J, Cawthon P et al.

GSA 2025 Abstract · 31 Dec 2025 · CC BY

Presented at GSA 2025

doi.org/10.1093/geroni/igaf122.473