Work

The future of multimorbidity management in the older adults: transforming AI-enabled precision medicine

Year: 2026

Type: article

Abstract: With global population aging, the prevalence of multimorbidity among older adults has risen sharply. This growing complexity challenges traditional single-disease-oriented healthcare models, leading to fragmented care, increased polypharmacy risks, and poor clinical outcomes. Precision medicine, integrating genomic, phenotypic, and behavioral data, offers a promising avenue for individualized care in this context. Concurrently, artificial intelligence (AI) has emerged as a powerful enabler of precision medicine by facilitating large-scale data analysis, real-time risk prediction, and multimodal data integration. This review summarizes recent advances in the application of AI-enabled precision medicine for managing geriatric multimorbidity, providing a theoretical and practical framework for integrating AI-enabled care. It highlights the need for interdisciplinary collaboration, regulatory innovation, and equity-focused design to transform multimorbidity management in aging societies.

Source: Frontiers in Public Health

DOI: 10.3389/fpubh.2025.1691682

Authors: Wei Deng, Li-Ying Zhang, Ji-Rong Yue, Xiao-Li Huang

Institutions: Sichuan University, West China Hospital of Sichuan University

Language: English

Topic: Chronic Disease Management Strategies

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801