Despite advancements in detection and treatment, tuberculosis (TB), an infectious illness caused by the Mycobacterium TB bacteria, continues to pose a serious threat to world health. The TB diagnosis phase includes a patient's medical history, physical examination, chest X-rays, and laboratory procedures, such as molecular testing and sputum culture. In artificial intelligence (AI), machine learning (ML) is an advanced study of statistical algorithms that can learn from historical data and generalize the results to unseen data.
View Article and Find Full Text PDFPurpose: The National Tuberculosis Elimination Programme (NTEP) of the Government of India has strived to control tuberculosis (TB) in the country through various interventions. Understanding the trends of resistance patterns may provide insights into the effectiveness of TB control activities in the country.
Methods: A total of 31,144 clinical samples were received from 2013 to 2022 from presumptive drug-resistant TB patients.
BMC Infect Dis
July 2024
Background: Despite several incremental improvements in the management of tuberculous meningitis (TBM), the mortality rates remain high. In spite of national and international guidelines, variation in the choice, dose, and duration of drugs exist between countries and clinicians. We propose to evaluate a shorter and more effective regimen containing agents with augmented intracerebral drug exposure and anti-inflammatory approaches to improve disability-free survival among patients with TBM.
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