Latest AI and machine learning research in tuberculosis for healthcare professionals.
Estimating the volume of macro-plastics which dot the world's oceans is one of the most pressing env...
Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-c...
Cell classification, especially that of white blood cells, plays a very important role in the field ...
Tuberculosis is an infectious disease that causes ill health and death in millions of people each ye...
The human immunodeficiency virus (HIV) causes over a million deaths every year and has a huge econom...
Tuberculosis (TB) remains the leading cause of morbidity and mortality from infectious disease in de...
We aimed to use deep learning to detect tuberculosis in chest radiographs in annual workers' health ...
A novel CAD scheme for automated lung nodule detection is proposed to assist radiologists with the d...
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems...
Currently, the most utilized antimicrobial in processing facilities is peracetic acid, PAA; however,...
Pyrazinamide (PZA) is a key antibiotic for the treatment of drug susceptible tuberculosis. PZA-resis...
An electrochemical immunoelectrode is fabricated and investigated for quantification of the Procalci...
Simple, inexpensive, and rapid diagnostic tests in low-resource settings with limited laboratory equ...
Even though convolutional neural networks (CNN) have been used for cell segmentation, they require p...
BACKGROUND: Chest radiograph interpretation is critical for the detection of thoracic diseases, incl...
INTRODUCTION: Isoniazid-induced seizure, often described as Status Epilepticus (SE), is an emergency...
Antibiotic resistance has been one of the biggest threats to global health. Despite the available pr...
Tuberculosis (TB) has become one of the most significant public health problems in recent years. Ant...