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Review|Volume 17, Issue 1|pp 251—275

Deep learning and generative artificial intelligence in aging research and healthy longevity medicine

Dominika Wilczok1,2
  • 1Duke University, Durham, NC 27708, USA
  • 2Duke Kunshan University, Kunshan, Jiangsu 215316, China
Received: September 23, 2024Accepted: January 8, 2025Published: January 16, 2025
https://doi.org/10.18632/aging.206190

Copyright: © 2025 Wilczok. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

With the global population aging at an unprecedented rate, there is a need to extend healthy productive life span. This review examines how Deep Learning (DL) and Generative Artificial Intelligence (GenAI) are used in biomarker discovery, deep aging clock development, geroprotector identification and generation of dual-purpose therapeutics targeting aging and disease. The paper explores the emergence of multimodal, multitasking research systems highlighting promising future directions for GenAI in human and animal aging research, as well as clinical application in healthy longevity medicine.