[HTML][HTML] Integrative analysis of multimodal patient data identifies personalized predictors of tuberculosis treatment prognosis
Summary Tuberculosis (TB) afflicted 10.6 million people in 2021, and its global burden is
increasing due to multidrug-resistant TB (MDR-TB) and extensively resistant TB (XDR-TB) …
increasing due to multidrug-resistant TB (MDR-TB) and extensively resistant TB (XDR-TB) …
[HTML][HTML] Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis
Tuberculosis (TB) afflicts over 10 million people every year and its global burden is
projected to increase dramatically due to multidrug-resistant TB (MDR-TB). The Covid-19 …
projected to increase dramatically due to multidrug-resistant TB (MDR-TB). The Covid-19 …
Analysis of a Large Patient-Level Dataset to Predict Outcome of Treatment for Drug-Resistant Tuberculosis
ABSTRACT BACKGROUND Drug-resistant (DR) tuberculosis treatment is challenging and
frequently leads to poor outcomes. An international collaboration, the National Institute of …
frequently leads to poor outcomes. An international collaboration, the National Institute of …
Transcriptomic signatures predict regulators of drug synergy and clinical regimen efficacy against tuberculosis
S Ma, S Jaipalli, J Larkins-Ford, J Lohmiller… - MBio, 2019 - Am Soc Microbiol
The rapid spread of multidrug-resistant strains has created a pressing need for new drug
regimens to treat tuberculosis (TB), which kills 1.8 million people each year. Identifying new …
regimens to treat tuberculosis (TB), which kills 1.8 million people each year. Identifying new …
Predictive Analysis of Tuberculosis Treatment Outcomes Using Machine Learning: A Karnataka TB Data Study at a Scale
SSN Chinagudaba, D Gera, KKV Dasu… - arXiv preprint arXiv …, 2024 - arxiv.org
Tuberculosis (TB) remains a global health threat, ranking among the leading causes of
mortality worldwide. In this context, machine learning (ML) has emerged as a transformative …
mortality worldwide. In this context, machine learning (ML) has emerged as a transformative …
A 22-gene transcriptomic model indicating individual therapy durations in multidrug-resistant tuberculosis
J Heyckendorf, S Marwitz, M Reimann, K Avsar… - medRxiv, 2020 - medrxiv.org
Emerging multidrug-resistant tuberculosis is a major global health challenge. The World
Health Organization currently recommends treatment durations of 9–18 months or more for …
Health Organization currently recommends treatment durations of 9–18 months or more for …
Cost-Effective Whole Transcriptome Sequencing Landscape and Diagnostic Potential Biomarkers in Active Tuberculosis
Z Sun, B He, Z Yang, Y Huang, Z Duan… - ACS Infectious …, 2024 - ACS Publications
Tuberculosis (TB) is a prevalent and severe infectious disease that poses a significant threat
to human health. However, it is frequently disregarded as there are not enough quick and …
to human health. However, it is frequently disregarded as there are not enough quick and …
[HTML][HTML] Multi-cohort analysis reveals immune subtypes and predictive biomarkers in tuberculosis
L Li, T Wang, Z Chen, J Liang, H Ding - Scientific Reports, 2024 - nature.com
Tuberculosis (TB) remains a significant global health threat, necessitating effective
strategies for diagnosis, prognosis, and treatment. This study employs a multi-cohort …
strategies for diagnosis, prognosis, and treatment. This study employs a multi-cohort …
[HTML][HTML] Multi-modal deep learning based on multi-dimensional and multi-level temporal data can enhance the prognostic prediction for multi-drug resistant pulmonary …
ZH Lu, M Yang, CH Pan, PY Zheng, SX Zhang - Science in One Health, 2022 - Elsevier
Despite the advent of new diagnostics, drugs and regimens, multi-drug resistant pulmonary
tuberculosis (MDR-PTB) remains a global health threat. It has a long treatment cycle, low …
tuberculosis (MDR-PTB) remains a global health threat. It has a long treatment cycle, low …
[HTML][HTML] Predictors for Treatment Outcomes in Patients with Multi-drug Resistant Tuberculosis—China, 2018–2020
S Zhang, L Qiu, D Wu, S Zhang, C Pan, C Li… - China CDC …, 2022 - ncbi.nlm.nih.gov
Multi-drug resistant tuberculosis(MDR-TB) is caused by the Mycobacterium tuberculosis that
is resistant to rifampicin and isoniazid (1). MDR-TB has become a global public health …
is resistant to rifampicin and isoniazid (1). MDR-TB has become a global public health …