Tuberculosis

Scalable synthesis, characterization, and DFT-machine learning modelling of Ti3C2 MXene quantum dots.

Two-dimensional Ti3C2T x MXenes exhibit exceptional electrical conductivity and tunable surface chemistry; however, reduction to zero-dimensional quantum dots (MQDs) affords quantum confinement and enriched functionalization, modulating the optoelectronic and electrochemical properties. In this research study, we developed a protocol for laboratory-level scale-up synthesis using TMAOH, yielding hi...

Qualitative and quantitative analysis of pharmaceutical content by terahertz spectroscopy and machine learning algorithms.

Process analytical technology (PAT) plays an essential role in pharmaceutical manufacturing by enabling effective quality control and improving production efficiency. Terahertz (THz) spectroscopy has attracted considerable attention due to its advantages of high biosafety, distinctive spectral fingerprints, and excellent quantitative performance. However, achieving rapid classification and accurat...

An explainable multi-label Diagnostic Prediction Model for lung diseases based on proteomic biomarkers.

OBJECTIVES: Differential diagnosis of pneumonia, tuberculosis, and lung cancer is highly challenging due to overlapping clinical presentations and hig...

Evaluation Frameworks for Clinical AI Incorporating Validation Strategies, Real-World Applicability, and Ethical Principles: Scoping Review.

BACKGROUND: AI shows substantial potential in health care; however, the absence of standardized evaluation frameworks limits its safe and effective cl...

Bridging the Vaccine Gap: Scientific and Technological Advances for Diseases Lacking Effective Vaccines.

Despite remarkable achievements in infectious disease control, more than 20 major pathogens responsible for significant global morbidity and mortality...

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

Paratuberculosis, caused by Mycobacterium avium subsp. paratuberculosis (MAP), is a chronic, incurable enteritis of ruminants in which late-onset clin...

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 semiconductor devices. However, traditional methods remain co...

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 processability, yet achieving uniformly packed emissive layers ...

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 that have been applied across various fields, includ...

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 (TB) immunopathology, yet manganese metabolism-relat...

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 macrophages and has evolved unique processes to hijack hos...

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 Institute for Occupational Safety and Health-cert...

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 public health systems. Limited reach of traditional ...

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

Tuberculosis is a deadly airborne disease caused by Mycobacterium tuberculosis. Drug-resistant tuberculosis presents significant challenges for treatm...

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 injury (AKI), yet current biosensors lack the capabi...

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 characteristics, may better inform antimicrobial st...

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 new drugs that can target key bacterial proteins. T...

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 mechanisms remain elusive. METHODS: We integrated h...

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 limited access to care facilitate transmission. We eval...

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 often face limitations in accuracy, efficiency, and sc...