Infectious Disease

Bacterial Infection

Latest AI and machine learning research in bacterial infection for healthcare professionals.

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From machine learning to causal insight: a robust 12-gene signature to distinguish sepsis risk from systemic inflammatory response syndrome.

BACKGROUND: Sepsis, a life-threatening condition driven by a dysregulated host response, poses signi...

Feb 2026 41723546
Probiotic therapeutics: A critical review of mechanisms, clinical efficacy, and the frontier of precision microbiome modulation.

Probiotic therapeutics are evolving from generalized wellness supplements to precision Live Biothera...

Feb 2026 41722541
Antimicrobial resistance gene diversity, prevalence, and mobility within four landfills.

Antibiotics in landfills create selection pressures on the microorganisms present, selecting for ant...

Feb 2026 41719533
Skin deep: dermatologic challenges in PCOS through the female lifespan.

INTRODUCTION: Polycystic ovary syndrome (PCOS) is a lifelong endocrine-metabolic condition with prom...

Feb 2026 41715888
Predicting surgical intensive care unit readmission with machine learning model: Bi-center training and validation.

BACKGROUND: Patients readmitted to the surgical intensive care unit (SICU) face a high risk of morta...

Feb 2026 41719611
Beyond nature: in vivo production of natural product analogues through programmed biosynthetic pathways.

Natural products are vital sources of medicines, and their analogues hold great promise as novel the...

Feb 2026 41719936
Harnessing AMF-plant-microbe systems for heavy metal remediation.

Soil heavy metal pollution poses a global environmental threat, demanding effective and sustainable ...

Feb 2026 41719980
Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects.

Cancer immunotherapy is increasingly moving toward personalized, precision-based strategies, with ca...

Feb 2026 41709766
Scale-Dependent Heterogeneity Drives Microbial Insurance in Phyllosphere Algal-Bacterial Networks during Lake Eutrophication.

The algal-bacterial symbiotic communities within the submerged macrophyte phyllosphere exhibit signi...

Feb 2026 41711319
From fermentation to function: a critical review of lactic acid bacteria redesign for functional foods and precision nutrition.

Lactic acid bacteria (LAB) have transitioned from their traditional roles in food preservation and f...

Feb 2026 41712255
Metabolic Fingerprint-Mediated Chemical Nose Strategy: Precise Identification of Foodborne Bacteria Based on a 4-MU Derivative Fluorescence Array.

Accurate identification of foodborne microorganisms is a key priority for food safety. Focused on th...

Feb 2026 41701101
Predicting the active sites of quinolone antibiotics interacting with organisms by deep learning and molecular docking.

Quinolones (QNs) antibiotics have become one of the most commonly used antibacterial drugs for human...

Feb 2026 41722354
Sepsis Diagnostics via Biosensors: Engineering Platforms, Artificial Intelligence Integration, and Clinical Translation.

Sepsis remains one of the most diagnostically challenging syndromes due to its clinical heterogeneit...

Feb 2026 41698024
Artificial intelligence in combating challenges in antimicrobial resistance: a narrative review.

Antimicrobial resistance (AMR) is a major global health challenge that threatens the effective preve...

Feb 2026 41859321
Personalized sepsis mortality prediction: An interpretable machine learning nomogram.

PURPOSE: Sepsis remains a major cause of mortality in ICU patients, requiring accurate prognostic to...

Feb 2026 41691972
A Machine Learning-Based Prognostic Model for Sepsis-Associated Liver Injury Using Routine Indicators.

OBJECTIVE: Sepsis-associated liver injury (SALI) occurs in approximately 40% of sepsis cases and is ...

Feb 2026 41689832
Klebsiella oxytoca: an opportunistic bacterial pathogen that poses challenges for treatment and vaccine development.

Klebsiella oxytoca is a clinically significant opportunistic bacterium that contributes to global mo...

Feb 2026 41684256
ContraIndicator: A Natural Language Processing-Based Approach to Potential Drug-Drug Interaction Detection in Pediatric Intensive Care.

BACKGROUND AND OBJECTIVES: The intricate nature of pediatric patients' physiology and the frequent a...

Feb 2026 41686358
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