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

2025/01/16 by Dominika Wilczok · 1 voice · 2 citations
Biochemistry, Genetics and Molecular Biology · Environmental Science · Medicine · #Frailty in Older Adults #Genetics, Aging, and Longevity in Model Organisms #Health, Environment, Cognitive Aging

paper · pdf · doi:10.18632/aging.206190

openalex publication_date 2025/01/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

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.

Citations

• Methods for Interpreting and Understanding Deep Neural Networks
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Cited by

• Artificial intelligence across the aging continuum: Mechanistic geroscience, therapeutic innovation, and clinical impact
• Biomarker Integration and Biosensor Technologies Enabling AI-Driven Insights into Biological Aging

Discussions

• #AgingResearch: "Deep learning and generative artificial intelligence in aging research and healthy longevity medicine" DOI ⬇️ doi.org/10.18632/agi... #aging #ai #research #openaccess #peerreview [bsky, 1 points, 0 comments]

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