The differentiation of neural stem cells (NSCs) into neurons is proposed to be critical in
devising potential cell-based therapeutic strategies for central nervous system (CNS) …

Successful treatment of pulmonary tuberculosis (TB) depends on early diagnosis and careful
monitoring of treatment response. Identification of acid-fast bacilli by fluorescence …

Deep learning is slowly taking over the medical image analysis field with advancements in
imaging tools, and growing demand for fast, accurate, and automated image analysis. In this …

Artificial intelligence (AI) is a field of computer science and engineering that works based on
the principle and operation of human brain. Machine learning (ML) and deep learning (DL) …

Background: Tuberculosis is a disease with high incidence and high mortality rate,
especially in Brazil. Although there are several medications available for treatment, in cases …

Microscopy analysis of sputum images for bacilli screening is a common method used for
both diagnosis and therapy monitoring of tuberculosis (TB). Nonetheless, it is a challenging …

Introduction This study aimed to develop and assess a deep-learning model based on CT
images for distinguishing infectivity in patients with pulmonary tuberculosis (PTB). Methods …

The detection of Mycobacterium tuberculosis (Mtb) infection plays an important role in the
control of tuberculosis (TB), one of the leading infectious diseases in the world. Recent …

Permasalahan mengenai mikroplastik saat ini menjadi perhatian yang serius. Timbulan
sampah plastik meningkatkan potensi pencemaran akibat mikroplastik yang dapat …

Sputum smear microscopy is used for diagnosis and treatment monitoring of pulmonary
tuberculosis (TB). Automation of image analysis can make this technique less laborious and …