Infectious Disease

Advanced gene editing technologies for oncology mechanisms, applications, and clinical implementation.

Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies ai...

Development and validation of a machine learning-based model for identifying liver fibrosis in individuals with prior Schistosoma japonicum infection: a step toward precision management.

BACKGROUND: Liver fibrosis caused by Schistosoma japonicum may continue to progress even following s...

Integrated evaluation of rapid diagnostic testing, genotypic-phenotypic resistance profiling, and AI-Assisted prediction models for antimicrobial stewardship and clinical outcomes in a resource-limited setting.

INTRODUCTION: Antimicrobial resistance (AMR) remains a major global health concern, necessitating ti...

Use of machine learning to detect Escherichia coli in drinking water in Bangladesh.

Escherichia coli (E. coli) is a key indicator of fecal contamination in freshwater and can signal th...

Gut microbiome signatures during acute infection are associated with long COVID.

BACKGROUND: Long COVID (LC) manifests in 10%-30% of non-hospitalized individuals post-SARS-CoV-2 inf...

Unclassifiable Invasive Pulmonary Aspergillosis in the Intensive Care Unit: Insights From a Multicenter, Retrospective Cohort Study in France (2022-2024).

BACKGROUND: Suspected invasive pulmonary aspergillosis (IPA) is increasingly treated in intensive ca...

Targeting FAR1 to inhibit intestinal macrophage ferroptosis: repurposing irinotecan as a novel sepsis therapy.

Intestinal barrier breakdown is a key driver of sepsis-related multiple organ dysfunction; however, ...

The Continuity Trap in Data Science Health Research.

Secondary use is now the ordinary condition of data science health research rather than an exception...

Early Sepsis Prediction Using Interpretable Models.

Sepsis remains a major cause of morbidity and mortality in Intensive Care Units (ICUs). Timely ident...

Precision Medicine in Combating Antimicrobial Resistance: A Comprehensive Review.

Antimicrobial resistance (AMR) represents one of the most pressing threats to global public health, ...

Microbiome modelling for post-mortem interval estimation across species and climates: swine analogues in a British summer and external validation in human donors from the USA.

Background Microbial clocks have shown high accuracy in estimating time since death, or post-mortem ...

AI-assisted endoscopic detection of Helicobacter pylori infection in atrophic gastritis: a multicenter diagnostic study.

BACKGROUND: Convolutional neural network (CNN)-based artificial intelligence systems have demonstrat...

A review into the recent advances in the world of amoebiasis.

PURPOSE OF REVIEW: Amoebiasis is a parasitic infection caused by Entamoeba histolytica, affecting 10...

Antimicrobial peptides for tuberculosis in a post-antibiotic era: from in vitro promise to therapeutic potential.

Tuberculosis remains the leading cause of death from a single infectious pathogen, driven by prolong...

Microbiome-Driven Precision Medicine in Asthma: Roles of Targeted Therapies and Artificial Intelligence.

OBJECTIVE: To evaluate the current evidence regarding airway and gut microbiome alterations in asthm...

Deep Learning-Assisted RTP Sensor Array Based on a Melt-Injection Reaction for Visual Discrimination of Fluoroquinolone Antibiotics.

The widespread residue and structural similarity of fluoroquinolone antibiotics (FQs) pose a critica...

Recent advances in the defense mechanisms of arbuscular mycorrhizal fungi in antibiotic-contaminated soil ecosystems.

Arbuscular mycorrhizal fungi (AMF) are important soil symbionts that support plant nutrient acquisit...

AI for Prognosis Among People Living With HIV: Protocol for a Systematic Review and Meta-Analysis.

BACKGROUND: Advanced HIV disease remains a major global health concern, with nearly 40.8 million peo...

Machine learning prediction of human antibiotic resistance risk using 16S rRNA profiles.

Antimicrobial resistance poses a growing global health threat, yet large-scale surveillance and risk...

Corrigendum to "Machine learning-guided discovery of covalent sortase A inhibitors targeting MRSA virulence" [Eur. J. Med. Chem. (2026) 318, 119139].

When the hive speaks: detecting Varroa destructor infestation in honey bees through acoustic biomarkers and machine learning.

Honey bee (Apis mellifera) colonies are essential for agricultural production and ecosystem services...