Plasma immune profiling combined with machine learning contributes to diagnosis and prognosis of active pulmonary tuberculosis-Reference-Cited by-同舟云学术

Plasma immune profiling combined with machine learning contributes to diagnosis and prognosis of active pulmonary tuberculosis

Published:2024-07-04 Issue:1 Volume:13 Page:
ISSN:2222-1751
Container-title:Emerging Microbes & Infections
language:en
Short-container-title:Emerging Microbes & Infections

Author:

Yao Fusheng¹,Zhang Ruiqi¹,Lin Qiao²,Xu Hui¹,Li Wei³,Ou Min¹,Huang Yiting³,Li Guobao¹,Xu Yuzhong²,Song Jiaping³,Zhang Guoliang¹

Affiliation:

1. National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, People’s Republic of China

2. The Baoan People's Hospital of Shenzhen, The Second Affiliated Hospital of Shenzhen University, Shenzhen, People’s Republic of China

3. Zhuhai ICXIVD Biotechnology Co., Ltd, iCarbonX, Zhuhai, People’s Republic of China

Funder

National Natural Science Foundation of China

National Key Research and Development Plan

Guangdong Science Fund for Distinguished Young Scholars

the State Key Laboratory of Respiratory Diseases Open Project

Shenzhen Scientific and Technological Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/22221751.2024.2370399

Reference53 articles.

1. WHO's Global Tuberculosis Report 2022

2. A systematic review and meta-analysis of the catastrophic costs incurred by tuberculosis patients

3. New developments in tuberculosis diagnosis and treatment

4. A half-century of research on tuberculosis: Successes and challenges

5. Factors associated with false negative interferon-γ release assay results in patients with tuberculosis: A systematic review with meta-analysis