Tuberculosis

Calibration-aware genomic prediction of paratuberculosis serostatus in indigenous Turkish goats.

Paratuberculosis, caused by Mycobacterium avium subsp. paratuberculosis (MAP), is a chronic, incurab...

On-demand growth of semiconductor heterostructures guided by physics-informed machine learning.

Developing tailored heterostructures on demand is essential to meet the growing needs of semiconduct...

Machine-learning-enabled solvent engineering for uniform quantum dot packing in efficient and stable quantum-dot light-emitting diodes.

Colloidal quantum dots (QDs) offer size-tunable optoelectronic properties and solution processabilit...

TB-SERS analyzer: Analysis tool for tuberculosis prediction based on Raman spectroscopy with machine learning and convolutional neural network.

Raman spectroscopy (RS) and surface-enhanced Raman spectroscopy (SERS) are promising technologies th...

Manganese Metabolism-Related Gene Signatures as Diagnostic Biomarkers for Tuberculosis: Immune Infiltration Profiling and Molecular Subtype Identification.

BACKGROUND: Host metabolic programs are increasingly recognized as key modulators of tuberculosis (T...

Applying prior knowledge of regulatory signaling to investigate macrophage cAMP dynamics during Mycobacterium tuberculosis infection.

Mycobacterium tuberculosis (Mtb), the causative agent of Tuberculosis, resides in host lung macropha...

Development of an expert-annotated chest X-ray dataset to support AI validation in tuberculosis diagnosis.

OBJECTIVES: To assess inter-rater agreement and diagnostic performance of six United States National...

Performance evaluation of five major large language models in tuberculosis Q&A systems: A multidimensional assessment of readability, quality, and reliability.

BACKGROUND: Pulmonary tuberculosis (TB) is a chronic infectious disease that burdens patients and pu...

Machine learning-based analysis of drug resistance mutations in Mycobacterium tuberculosis.

Tuberculosis is a deadly airborne disease caused by Mycobacterium tuberculosis. Drug-resistant tuber...

Aptamer-Directed Assembly of NSET Microneedle Patch for Early Detection of Acute Kidney Injury Facilitated by Deep Learning-Enabled Target Signal Extraction.

Neutrophil gelatinase-associated lipocalin (NGAL) is a promising early biomarker for acute kidney in...

Using Encounter-Level Data for Risk-Adjustment of Antimicrobial Use Comparisons: Feasibility and Variable Selection.

BACKGROUND: External comparisons of hospital antimicrobial use (AU), risk-adjusted using encounter c...

Machine learning-guided discovery of spirocyclic inhibitors targeting Mycobacterium tuberculosis FtsZ.

Tuberculosis continues to pose serious threats to global public health and calls for the design of n...

Network toxicology and multi-omics identify potential interactions between between air pollutants and interferon-related signaling in tuberculosis.

BACKGROUND: Air pollution increases tuberculosis (TB) susceptibility, yet the underlying molecular m...

Screening for tuberculosis in prisons: efficacy of a breath-based diagnostic approach in a high prevalence setting.

BACKGROUND: Tuberculosis (TB) remains a major health threat in prisons, where overcrowding and limit...

Transformative Role of Advanced Neural Computation in Clinical Image Diagnostics: A Review of Key Concepts and Applications.

Medical imaging plays a crucial role in modern diagnostic practices, but traditional techniques ofte...

Correction: TB-DROP: deep learning-based drug resistance prediction of Mycobacterium tuberculosis utilizing whole genome mutations.

Exploring tuberculosis physicians' preferences for AI explainability in China: a protocol for a discrete choice experiment.

INTRODUCTION: Artificial intelligence (AI) is increasingly used in tuberculosis (TB) diagnosis, but ...

An Aging Clock Based on Immune Repertoire Features: COVID-19 Accelerates Aging.

Aging induces immunosenescence, a progressive decline in immune function underpinning age-related pa...

Identification of chemical features for improved outer membrane permeation in mycobacteria using machine learning.

The ability of compounds to permeate and accumulate in bacterial cells is a critical determinant of ...

A smear test aiding with an automated slide reader acquires equivalent sensitivity to MGIT960 culture in pulmonary tuberculosis diagnosis.

UNLABELLED: Smear microscopy remains widely used for tuberculosis (TB) diagnosis due to its rapid tu...

Diagnosing lung disorder and optimal classification using dense convolution (Dc)-CapsNet technique.

Lung carcinoma is regarded as lung cancer and is the usual form of cancers worldwide. It cannot be d...