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

IF 3.9 3区 医学 Q2 CELL BIOLOGY
Aging-Us Pub Date : 2025-01-16 DOI:10.18632/aging.206190
Dominika Wilczok
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引用次数: 0

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.

深度学习和生成式人工智能在老龄化研究和健康长寿医学中的应用。
随着全球人口以前所未有的速度老龄化,有必要延长健康的生产寿命。本文综述了深度学习(DL)和生成式人工智能(GenAI)如何应用于生物标志物发现、深度衰老时钟开发、geroprotector鉴定和针对衰老和疾病的双重用途治疗药物的开发。本文探讨了多模态、多任务研究系统的出现,强调了GenAI在人类和动物衰老研究以及健康长寿医学临床应用方面的未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Aging-Us
Aging-Us CELL BIOLOGY-
CiteScore
10.00
自引率
0.00%
发文量
595
审稿时长
6-12 weeks
期刊介绍: Information not localized
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