Bacterial Infection

Precision Medicine in Combating Antimicrobial Resistance: A Comprehensive Review.

Antimicrobial resistance (AMR) represents one of the most pressing threats to global public health, undermining the effectiveness of modern antimicrobial therapy and challenging decades of medical progress. This comprehensive review examines the transition from broad-spectrum empirical therapy toward precision medicine as an integrated framework for improving antimicrobial use and combating AMR. P...

CPTCs Drive Somatic-Visceral Communication via the Wnt Axis in Somatic Mechanotherapy: A Single-Cell Deep Learning Study.

Somatic mechanical stimulation (e.g., acupuncture) exerts systemic immunomodulatory effects, yet the cellular bridge translating peripheral physical force into visceral repair remains elusive. Here, employing a custom interpretable deep learning framework (CARSS) on single-cell RNA sequencing data, we identify CD34+PDGFRα+ telocytes (CPTCs) as the primary mechanosensors in both fascia and colon du...

Natural and Synthetic AMPs from Latin America across Diversity Engineering and Applications.

Latin America's biodiversity accounts for approximately 60% of the world's total, fueling scientific research into natural products, a highly relevant...

Machine learning models for predicting neonatal bacterial infections: a retrospective cohort study.

Bacterial infections represent a critical threat to neonatal health, accounting for approximately 25% of neonatal mortality globally. Timely and preci...

Machine learning-based quantitative structure-activity relationship model for antibiotic prediction and discovery.

Antimicrobial resistance (AMR) is a critical global health problem that has become increasingly alarming in recent years. The discovery of new antibio...

Predicting Strain-Specific Metabolic Capabilities in the Genus Pseudomonas with a Flux-to-AI Approach Reveals Hidden Cell Envelope Properties.

Bacteria from the Pseudomonas genus are omnipresent in air, soil, and water. They have been widely studied for their broad metabolic versatility and t...

[Advances in phage therapy for pneumonia caused by Klebsiella pneumoniae].

Klebsiella pneumoniae (KP) has emerged as a formidable nosocomial pathogen in the era of antimicrobial resistance, with mortality from pneumonia cause...

Chemoinformatic and machine learning fusion for designing silver nanoparticles with enhanced antimicrobial properties.

Predicting the antimicrobial efficacy of newly synthesized nanoparticles remains a complex and resource-intensive task. In this study, we present an i...

Multimodal Raman-Gene Framework for Interpretable Phenotypic Antibiotic Resistance and Health Risk Stratification.

The increasing burden of antibiotic-resistant bacteria presents a major challenge for clinical management, as conventional antimicrobial susceptibilit...

From decay to discovery: A new antimicrobial peptide from Chrysomya megacephala (Diptera: Calliphoridae) larvae.

The larvae of Chrysomya megacephala (Diptera: Calliphoridae) thrive in environments rich in decaying organic matter and dead animals, which are often ...

An update on biofilms in acute and chronic wounds: Incidence, clinical evidence, diagnosis, prevention, and treatment.

Pathogenic biofilms are a critical barrier to wound healing, driving infection persistence, delayed tissue repair, and antimicrobial resistance (AMR) ...

Artificial intelligence of things-enhanced automated surveillance system for global antimicrobial resistance in food supply chain.

INTRODUCTION: Antimicrobial resistance (AMR) threatens food safety across the farm-to-fork continuum. Real-time surveillance is crucial to mitigate it...

Generative design of bacteriophages with genome language models.

Many important biological functions arise not from single genes but from complex interactions encoded by entire genomes. We report the first generativ...

Anti-virulence activity of peptide C7-3 and its derivatives against Pseudomonas aeruginosa.

BACKGROUND: Pseudomonas aeruginosa is a highly resistant pathogenic bacterium known for causing infections,particularly in immunocompromised patients....

Implementing AI-enabled chest X-ray for community-based integrated screening for tuberculosis, chronic respiratory diseases, and cardiovascular diseases in Nigeria.

BACKGROUND: Low- and middle-income countries face a growing dual burden of communicable and non-communicable diseases, while services remain verticall...

Free-living amoebae predation in nutrient-enriched treated wastewater: ecological potential and machine learning-assisted analysis.

Rapid population growth has intensified pressure on freshwater (FW) resources, significantly impacting agricultural practices and worsening food scarc...

Evaluation of an adapted relative growth method by MALDI-TOF MS for rapid determination of the susceptibility of Escherichia coli to levofloxacin.

Antimicrobial resistance (AMR) poses a critical global health threat. Conventional antimicrobial susceptibility testing (AST) requires 12-24 h, delayi...

Phage as a prospective arsenal against superbugs.

The escalating crisis of antimicrobial resistance (AMR) necessitates the urgent development of alternatives to traditional antibiotics. Bacteriophage ...

Machine learning-assisted quorum sensing molecules regulate growth progression and bioactivity of an oxygenic photobiofilm for non-aeration greywater purification.

Microalgal-bacteria consortium provide self-aeration through photosynthetic oxygen production, offering an energy-efficient strategy for wastewater tr...

A colorimetric sensor array for bacterial identification based on differential etching of T-AgNPs on metal ion-treated cells.

Conventional nanoparticle-based colorimetric sensor arrays typically require the synthesis of multiple differently modified nanoprobes as sensing elem...