Tuberculosis

Assessing mortality risk in pulmonary tuberculosis and severe malnutrition: development of the IIR marker via artificial intelligence.

Carbon dot nanoparticles as multifunctional fluorescent probes: from tunable synthesis to biomedical applications.

Carbon dots (CDs) have emerged as highly promising fluorescent nanomaterials due to their exceptional optical properties, biocompatibility, and facile synthesis. These attributes position them as versatile platforms for bioimaging, biosensing, and diagnostic applications in modern biomedicine. Significant progress has been achieved in translating CDs from proof-of-concept studies toward practical ...

Multi-modal machine learning and molecular modelling reveal structurally diverse inhibitors of Mycobacterium tuberculosis protein tyrosine phosphatase B.

Protein tyrosine phosphatase B (PtpB) is a virulence-associated phosphotyrosine phosphatase secreted by Mycobacterium tuberculosis (Mtb), known to dis...

RGTFormer: Predicting mutation-associated multi-drug resistance in Mycobacterium tuberculosis using a categorical gated transformer and relational graph convolutional network.

Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a major global health concern, especially due to multi-drug resistance. Resistance of...

Graphdiyne-assisted LDI-MS for rapid, non-invasive urine metabolomic profiling in tuberculosis screening.

Tuberculosis (TB) remains a major global health burden. Here we report a rapid, noninvasive urine-based metabolomics approach using graphdiyne (GD)-as...

Fuzzy logic in respiratory medicine: a systematic review of predictive and diagnostic applications.

BACKGROUND: There is increasing interest in the use of artificial intelligence (AI) to assist with respiratory diagnosis and risk prediction. Fuzzy lo...

Discrimination between Mycobacterium tuberculosis and Mycobacterium bovis using Fourier transform infrared spectroscopy.

Zoonotic tuberculosis (TB) caused by Mycobacterium bovis (Mbo) is a neglected disease that hinders efforts to eradicate human tuberculosis. Developing...

High-capacity removal of crystal violet using ZIF-8/graphene quantum dot composite with RSM optimization and explainable machine learning.

Street-level ambient fine particulate matter and tuberculosis: A machine learning and Bayesian spatiotemporal analysis.

Tuberculosis (TB) remains a leading cause of death from infectious diseases globally, yet evidence linking short-term ambient fine particulate matter ...

Artificial Intelligence in Tuberculosis Imaging: A Global Bibliometric Analysis of Research Trends and Collaborations.

INTRODUCTION: Tuberculosis (TB), a leading infectious cause of death, remains a global health challenge. Imaging is central to diagnosis and screening...

Start4All protocol for a Bayesian cost-effectiveness model of tuberculosis screening and diagnosis in seven high burden low-income and middle-income countries.

INTRODUCTION: High costs of screening and diagnostic tests remain a major barrier to timely tuberculosis (TB) identification in resource-limited setti...

Artificial intelligence and diagnosis and management of tuberculosis disease in children.

PURPOSE OF REVIEW: The literature review is pertinent because diagnosing pediatric tuberculosis (PdTB) remains quite challenging, especially in areas ...

Development and validation of a machine learning stratified prediction model for early warning of anti-tuberculosis drug-induced liver injury risk based on real-world data: a retrospective cohort study.

OBJECTIVE: This study aimed to develop and validate stratified machine learning models for early prediction of anti-tuberculosis drug-induced liver in...

Toward Robust Machine Learning Models for MALDI-TOF MS: Novel Approaches for Mycobacterium abscessus Subspecies Identification.

Distinguishing Mycobacterium abscessus subspecies presents significant diagnostic challenges due to their genetic homogeneity and variability in analy...

CRISPR-initiated exponential amplification on fluorescently-barcoded microspheres for deep learning-assisted multiplexed HPV detection.

Rapid, low-cost, and multiplexed nucleic acid testing is essential for human health but remains challenging. Although CRISPR-Cas systems offer high sp...

Distinct serum metabolic profiles with supportive diagnostic value in differentiating tuberculosis and Mycobacterium avium complex pulmonary disease.

BACKGROUND: Pulmonary infectious diseases caused by Mycobacterium species, including Mycobacterium tuberculosis and Mycobacterium avium complex (MAC),...

Molecular modelling assisted identification of novel Benzoxazole derivatives as hit molecules targeting Mycobacterial Membrane Protein Large 3 (MmpL3).

MmpL3 protein plays a vital role in cell wall synthesis in Mycobacterium. Novel benzoxazole carboxamide derivatives were designed to inhibit cell wall...

Light-Induced Entropy for Secure Vision.

We present a photospike-based true random number generator (PS-TRNG) that exploits the intrinsic randomness from light-matter interaction and stochast...

Advanced Technologies for the Diagnosis of Pulmonary Tuberculosis Using Exhaled Breath Samples: A Systematic Scoping Review.

OBJECTIVES: Non-invasive methods based on exhaled breath samples have emerged as promising alternatives for the diagnosis of pulmonary tuberculosis, e...

Structure-based and machine learning-assisted identification of natural phytochemicals targeting Mycobacterium leprae InhA for anti-mycobacterial therapeutics.

Mycobacterium leprae (M. leprae) is the bacterium that causes leprosy. It is a public health problem in many regions, especially in developing countri...