Traditional methods for monitoring pulmonary tuberculosis (PTB) treatment efficacy lack
sensitivity, prompting the exploration of artificial intelligence (AI) to enhance monitoring. This …

BACKGROUND: Optimal drug dosing is important to ensure adequate response to
treatment, prevent development of drug resistance and reduce drug toxicity. The aim of …

Introduction Many of the first line medications for the treatment of active and latent M.
tuberculosis are hepatoxic and cause a spectrum of anti-tuberculosis drug induced liver …

Objectives: To identify the risk factors associated with anti-tuberculosis drug-induced liver
injury (AT-DILI) or abnormal living functioning from 757 patients with pulmonary tuberculosis …

Background To investigate the risk factors and construct a logistic model and an extreme
gradient boosting (XGBoost) model to compare the predictive performances for readmission …

Objectives: To establish an individualized nomogram to predict the probability of drug-
induced liver injury (DILI) in tuberculosis patients receiving anti-tuberculosis treatment …

ABSTRACT Introduction In 2021, over 3,000 articles on Drug-Induced Liver Injury (DILI)
were published, nearly doubling the annual number compared to 2011. This review selected …

Background The objective of this research was to create and validate an interpretable
prediction model for drug-induced liver injury (DILI) during tuberculosis (TB) treatment …

Background: Facioscapulohumeral muscular dystrophy (FSHD) is a progressive
neuromuscular disease. Its slow and variable progression makes the development of new …

Purpose Drug-induced liver injury (DILI) is one of the most common and serious adverse
drug reactions related to first-line anti-tuberculosis drugs in pediatric tuberculosis patients …