AI-driven aging digital twins: A roadmap for clinical translation in precision geriatrics

IF 15.5 1区医学 Q1 CELL BIOLOGY

Ageing Research Reviews Pub Date : 2026-01-01 Epub Date: 2025-11-03 DOI:10.1016/j.arr.2025.102931

Chenchen Li , Ke Zuo , Ruijia Duan , Xiangbin Ouyang , Yu Zhang , Liuwang Zeng , Lite Ge

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引用次数: 0

Abstract

Aging and related diseases account for ⁓70 % of global mortality with declining physiological homeostasis and cognitive function increasing susceptibility to neurodegenerative disorders, cardiovascular diseases and cancer. Treatment is hampered by imprecise diagnostics and limited therapeutic options. Precision medicine involving artificial intelligence (AI)-powered Aging Digital Twin (ADT) technology which integrates multi-source heterogeneous data via advanced AI and deep learning has great potential. Virtual doppelgangers enable real-time health monitoring, predictive analytics and personalized interventions to facilitate early disease detection and optimize risk assessment and treatment strategies. Challenges remain and include age-stratified biases in training datasets and variations in data quality for older populations which may limit model generalizability. Critical concerns regarding data privacy, algorithmic transparency and clinical validation of ADT models remain unresolved. The current review examines the transformative potential of AI-enabled ADTs in precision medicine for aging and highlights technical and ethical limitations.

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人工智能驱动的老龄化数字双胞胎：精确老年医学临床翻译的路线图。

衰老和相关疾病占全球死亡率⁓的70%，生理稳态和认知功能下降，对神经退行性疾病、心血管疾病和癌症的易感性增加。不精确的诊断和有限的治疗选择阻碍了治疗。以人工智能（AI）为动力的老龄化数字孪生（ADT）技术，通过先进的人工智能和深度学习整合多源异构数据，具有巨大的潜力。虚拟分身能够实现实时健康监测、预测分析和个性化干预，从而促进早期疾病检测，优化风险评估和治疗策略。挑战仍然存在，包括训练数据集中的年龄分层偏差和老年人口数据质量的变化，这可能限制模型的泛化。关于数据隐私、算法透明度和ADT模型临床验证的关键问题仍未得到解决。当前的审查审查了人工智能支持的adt在老年精准医学中的变革潜力，并强调了技术和伦理限制。

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

Ageing Research Reviews 医学-老年医学

CiteScore

19.80

自引率

2.30%

发文量

216

审稿时长

55 days

期刊介绍： With the rise in average human life expectancy, the impact of ageing and age-related diseases on our society has become increasingly significant. Ageing research is now a focal point for numerous laboratories, encompassing leaders in genetics, molecular and cellular biology, biochemistry, and behavior. Ageing Research Reviews (ARR) serves as a cornerstone in this field, addressing emerging trends. ARR aims to fill a substantial gap by providing critical reviews and viewpoints on evolving discoveries concerning the mechanisms of ageing and age-related diseases. The rapid progress in understanding the mechanisms controlling cellular proliferation, differentiation, and survival is unveiling new insights into the regulation of ageing. From telomerase to stem cells, and from energy to oxyradical metabolism, we are witnessing an exciting era in the multidisciplinary field of ageing research. The journal explores the cellular and molecular foundations of interventions that extend lifespan, such as caloric restriction. It identifies the underpinnings of manipulations that extend lifespan, shedding light on novel approaches for preventing age-related diseases. ARR publishes articles on focused topics selected from the expansive field of ageing research, with a particular emphasis on the cellular and molecular mechanisms of the aging process. This includes age-related diseases like cancer, cardiovascular disease, diabetes, and neurodegenerative disorders. The journal also covers applications of basic ageing research to lifespan extension and disease prevention, offering a comprehensive platform for advancing our understanding of this critical field.