Infectious Disease

Bacterial Infection

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

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Showing 2038-2058 of 7,705 articles
High-dimensional Characterization of Genome-Environment Fitness Landscapes in Klebsiella pneumoniae

Background Bacterial fitness is shaped by interactions between genome variation and environmental co...

13C flux ratio analysis with FRAPPPE reveals differences in metabolic fluxes between gut Bacteroidota and Escherichia coli

Gut bacteria shape the metabolism of their host and play an important role in human health. However,...

gTranslate: rapid and accurate translation table prediction for prokaryotic genomes

Background: Bioinformatic tools often require the prediction of protein-coding genes to make inferen...

Comparing Pathway-Informed Polygenic Risk Score Strategies: A multi-cohort evaluation of Amyloid-β

Objective: To systematically evaluate pathway-informed polygenic risk score (PRS) strategies and det...

Beyond the annotated: protein foundation models enable robust prediction of microbial root competence

Background Root competence, the ability of soil bacteria to establish and grow on plant roots, is a ...

Genomic Diagnostics for Drug-Resistant Mycobacterium tuberculosis: Computational Prediction of Antimicrobial Resistance

Tuberculosis remains a leading cause of infectious disease mortality, and the continued emergence of...

Does the sequence of a disordered protein encode small molecule binding paths?

Ligand binding to intrinsically disordered proteins resists description in terms of conventional bin...

Protein-level prediction of Klebsiella phage adsorption identifies conserved receptor-binding motifs.

Bacteriophage therapy offers a potential route to treat antibiotic-resistant Klebsiella pneumoniae i...

Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine Learning

Accurate in vivo prediction of neuropathology is critical for advancing diagnosis and treatment of A...

A digital twin for hospital antimicrobial resistance forecasting and constrained intervention optimisation

Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patie...

SepsisAI Orchestrator: A Containerized and Scalable Platform for Deploying AI Models and Real-Time Monitoring in Early Sepsis Detection

Despite strong predictive results in the clinical machine learning literature, the translation of th...

Benchmarking Machine Learning Architectures for Antimicrobial Stewardship in Pediatric ICUs

Antimicrobial stewardship (AMS) is critical in pediatric intensive care units (PICUs), where diagnos...

Antimicrobial peptide databases and prediction tools: Toward a standard evaluation framework

Antimicrobial resistance (AMR) has a profound impact on animal and human health and is associated wi...

Elevated serum apolipoprotein B and lipoprotein remodelling distinguish adults with HLH from HLH mimics and controls

Haemophagocytic lymphohistiocytosis (HLH) is a rare, life-threatening hyperinflammatory syndrome cha...

Prepubertal ovariectomy alters dorsomedial striatum indirect pathway neuron excitability and explore/exploit balance in female mice

Decision-making circuits are modulated across life stages (e.g. juvenile, adolescent, or adult), as ...

Clinical Safety of AI-Generated Antibiotic Prescribing Advice: Guideline Adherence and Misinformation Risk Among Large Language Models

Background: Large language models (LLMs) are increasingly used in telehealth, but their safety in an...

Integration of immunomonitoring assays with PET/CT in TB patients identifies on-treatment biomarkers

Tuberculosis (TB) continues to pose a significant global public health challenge with substantial mo...

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