Tuberculosis

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data.

MOTIVATION: Correct and rapid determination of Mycobacterium tuberculosis (MTB) resistance against available tuberculosis (TB) drugs is essential for the control and management of TB. Conventional molecular diagnostic test assumes that the presence of any well-studied single nucleotide polymorphisms is sufficient to cause resistance, which yields low sensitivity for resistance classification.

Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study.

OBJECTIVE: To evaluate the feasibility of Deep Learning-based detection and classification of pathological patterns in a set of digital photographs of chest X-ray (CXR) images of tuberculosis (TB) patients.

Prevalence of latent Mycobacterium tuberculosis infection in renal transplant recipients.

OBJECTIVE: To estimate the prevalence of latent Mycobacterium tuberculosis infection (LTBI) in renal transplant recipients and to assess sociodemograp...

[The autologous bundled multi-segment rib graft reconstruction for bone defects after thoracic spinal tuberculosis debridement].

OBJECTIVE: To investigate the effectiveness of bundled multi-segment autologous rib graft reconstruction for bone defects after thoracic spinal tuberc...

Qualitative analysis of biological tuberculosis samples by an electronic nose-based artificial neural network.

OBJECTIVE: To apply an e-nose system for monitoring headspace volatiles in biological samples from Egyptian patients with active pulmonary tuberculosi...

Synthesis and Characterization of Quantum Dot-Loaded Poly(lactic-co-glycolic) Acid Nanocomposite Fibers by an Electrospinning Process.

Poly(lactic-co-glycolic) acid (PLGA) is one of the most successfully developed biodegradable polymers. PLGA is a copolymer of polylactic and glycolic ...

The Effects of First-Line Anti-Tuberculosis Drugs on the Actions of Vitamin D in Human Macrophages.

Tuberculosis (TB) is a major global health problem. Patients with TB have a high rate of vitamin D deficiency, both at diagnosis and during the course...

Fermentation, isolation, purification and characterization of an antitubercular antibiotic from Streptomyces luridus MTCC 4402.

Tuberculosis, caused by Mycobacterium tuberculosis, continues to be a serious public health problem around the world, and it urges the need for develo...

[Cancer and genitourinary tuberculosis (literature review and clinical observations)].

Tuberculosis has been regarded as a counter-regulatory process to cancer. The development of tumors in the kidney that is affected by tuberculosis is ...

Artificial Neural Network Analysis of Pharmacokinetic and Toxicity Properties of Lead Molecules for Dengue Fever, Tuberculosis and Malaria.

Poor pharmacokinetic and toxicity profiles are major reasons for the low rate of advancing lead drug candidates into efficacy studies. The In-silico p...

Cheminformatics Based Machine Learning Approaches for Assessing Glycolytic Pathway Antagonists of Mycobacterium tuberculosis.

BACKGROUND: Tuberculosis is the second leading cause of death from an infectious disease worldwide after HIV, thus reasoning the expeditions in antitu...

Distinct Transcriptional and Anti-Mycobacterial Profiles of Peripheral Blood Monocytes Dependent on the Ratio of Monocytes: Lymphocytes.

The ratio of monocytes and lymphocytes (ML ratio) in peripheral blood is associated with tuberculosis and malaria disease risk and cancer and cardiova...

Nitric Oxide Production Inhibition and Anti-Mycobacterial Activity of Extracts and Halogenated Sesquiterpenes from the Brazilian Red Alga Laurencia Dendroidea J. Agardh.

BACKGROUND: Red algae of the genus Laurencia J. V. Lamouroux are a rich source of secondary metabolites with important pharmacological activities such...

Variational inference with ARD prior for NIRS diffuse optical tomography.

Diffuse optical tomography (DOT) reconstructs 3-D tomographic images of brain activities from observations by near-infrared spectroscopy (NIRS) that i...

Architecture and biological applications of artificial neural networks: a tuberculosis perspective.

Advancement of science and technology has prompted researchers to develop new intelligent systems that can solve a variety of problems such as pattern...

Artificial Neural Network Methods Applied to Drug Discovery for Neglected Diseases.

Among the chemometric tools used in rational drug design, we find artificial neural network methods (ANNs), a statistical learning algorithm similar t...