Research progress in digital twin technology for tuberculosis patient management

doi:10.19982/j.issn.1000-6621.20250473

Abstract

Abstract:

In recent years，digital twin （DT） technology，as an emerging concept，has gradually been applied to the management of tuberculosis patients. DT demonstrates significant potential in virtual patient modeling，drug development，clinical skills training，and public health resource allocation，while also showcasing foresight in disease risk prediction and treatment adherence support. However，current research efforts，both domestically and internationally，remain at an exploratory stage，necessitating the integration of existing findings to clarify its developmental trajectory. Accordingly，this review summarizes the fundamental information on DT，elaborates on the latest research applications of DT technology in tuberculosis patient management，analyzes challenges in technological implementation，and outlines future directions. By dong so，it aims to provide innovative strategies for global tuberculosis digital prevention and control，offering insights for enhancing precision-based management of tuberculosis patients.

Key words: Tuberculosis, Disease management, Computer simulation, Forecasting, Review literature as topic, Digital twin

CLC Number:

Qiu Yuxian, Huang Fang, Yang Xiaoyi, Yang Feng, Lu Hua, Zhang Tianyi, Zhang Yang, Yao Rong, Li Yuanyuan. Research progress in digital twin technology for tuberculosis patient management[J]. Chinese Journal of Antituberculosis, 2026, 48(4): 550-555. doi: 10.19982/j.issn.1000-6621.20250473

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