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HRA011372
   HRA011372.xlsx
Title:
International multicohort development and validation of ML-driven host response-based diagnosis for pulmonary tuberculosis
Release date:
2025-07-28
Description:
Thus, our data demonstrates that TB-Scope provides a powerful and reliable tool for accurately diagnosing ATB across diverse data platforms. We believe that TB-Scope has the potential to improve clinical care in active tuberculosis diagnosis and could serve as a model for the development of machine learning-based multi-cohort diagnostic methods more broadly.
Data Accessibility:   
Controlled access Request Data
BioProject:
PRJCA034890
Study type:
Disease Study
Disease name:
disease by infectious agent
Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.


DAC NO.:
HDAC005313
DAC name:
RNA-seq for TB-Scope
Contact person:
Shen Yifei
Email:
yifeishen@zju.edu.cn
Description:
Thus, our data demonstrates that TB-Scope provides a powerful and reliable tool for accurately diagnosing ATB across diverse data platforms. We believe that TB-Scope has the potential to improve clinical care in active tuberculosis diagnosis and could serve as a model for the development of machine learning-based multi-cohort diagnostic methods more broadly.
Individuals & samples
Files
Request Data
Submitter:   Shen Yifei / yifeishen@zju.edu.cn
Organization:   The First Affiliated Hospital, Zhejiang University School of Medicine
Submission date:   2025-01-11
Requests:   -