Latest AI and machine learning research in tuberculosis for healthcare professionals.
BACKGROUND: In the experimental arm of the OFLOTUB trial, gatifloxacin replaced ethambutol in the st...
MOTIVATION: Correct and rapid determination of Mycobacterium tuberculosis (MTB) resistance against a...
OBJECTIVE: To evaluate the feasibility of Deep Learning-based detection and classification of pathol...
OBJECTIVE: To estimate the prevalence of latent Mycobacterium tuberculosis infection (LTBI) in renal...
OBJECTIVE: To investigate the effectiveness of bundled multi-segment autologous rib graft reconstruc...
OBJECTIVE: To apply an e-nose system for monitoring headspace volatiles in biological samples from E...
Poly(lactic-co-glycolic) acid (PLGA) is one of the most successfully developed biodegradable polymer...
Tuberculosis (TB) is a major global health problem. Patients with TB have a high rate of vitamin D d...
Tuberculosis, caused by Mycobacterium tuberculosis, continues to be a serious public health problem ...
Tuberculosis has been regarded as a counter-regulatory process to cancer. The development of tumors ...
BACKGROUND: Tuberculosis is the second leading cause of death from an infectious disease worldwide a...
Poor pharmacokinetic and toxicity profiles are major reasons for the low rate of advancing lead drug...
The ratio of monocytes and lymphocytes (ML ratio) in peripheral blood is associated with tuberculosi...
BACKGROUND: Red algae of the genus Laurencia J. V. Lamouroux are a rich source of secondary metaboli...
Diffuse optical tomography (DOT) reconstructs 3-D tomographic images of brain activities from observ...
Among the chemometric tools used in rational drug design, we find artificial neural network methods ...
Advancement of science and technology has prompted researchers to develop new intelligent systems th...