Machine-Learning-Derived, Mechanistically Informed Transcriptomic Signature to Diagnose Active Tuberculosis and Guide Host-Directed Therapy
- DOI
- 10.3390/diagnostics16050693
- Published
- 2026-02-26
- Container
- Diagnostics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16050693,
title = {Machine-Learning-Derived, Mechanistically Informed Transcriptomic Signature to Diagnose Active Tuberculosis and Guide Host-Directed Therapy},
author = {Asif Hassan Syed and Nashwan Alromema and Hatem A. Almazarqi and Jasrah Irfan and Shakeel Ahmad and Altyeb A. Taha and Alhuseen Omar Alsayed},
year = {2026},
journal = {Diagnostics},
doi = {10.3390/diagnostics16050693},
url = {https://doi.org/10.3390/diagnostics16050693}
}RIS
TY - JOUR TI - Machine-Learning-Derived, Mechanistically Informed Transcriptomic Signature to Diagnose Active Tuberculosis and Guide Host-Directed Therapy AU - Asif Hassan Syed AU - Nashwan Alromema AU - Hatem A. Almazarqi AU - Jasrah Irfan AU - Shakeel Ahmad AU - Altyeb A. Taha AU - Alhuseen Omar Alsayed PY - 2026 JO - Diagnostics DO - 10.3390/diagnostics16050693 UR - https://doi.org/10.3390/diagnostics16050693 ER -
APA
Syed, A. H., Alromema, N., Almazarqi, H. A., Irfan, J., Ahmad, S., Taha, A. A., & Alsayed, A. O. (2026). Machine-Learning-Derived, Mechanistically Informed Transcriptomic Signature to Diagnose Active Tuberculosis and Guide Host-Directed Therapy. Diagnostics. https://doi.org/10.3390/diagnostics16050693
Source records
- crossref · retrieved 2026-09-25T04:24:57.796Z