Infectious Disease

Bacterial Infection

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

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Automating Candidate Gene Prioritization with Large Language Models: From Naive Scoring to Literature-Grounded Validation

Identifying promising therapeutic targets from thousands of genes in transcriptomic studies remains ...

Breaking the culture habit: metagenomic diagnosis of companion animal skin infections

Skin infections have been described as the primary cause for presentation in veterinary small animal...

A deep reinforcement learning platform for antibiotic discovery

Antimicrobial resistance (AMR) is projected to cause up to 10 million deaths annually by 2050, under...

Aging diminishes interlaminar functional connectivity in the mouse cortical V1 and CA1 hippocampal regions

Aging disrupts brain network integration and is a significant risk factor for cognitive decline and ...

Early detection of ampicillin susceptibility in Enterococcus faecium with MALDI-TOF MS and machine learning

Enterococcus faecium can cause severe infections and is often resistant to the first-line antibiotic...

A Machine Learning Approach Reveals CRISPR-Cas I-F as a Genomic Marker of Antibiotic Susceptibility in Uropathogenic E. coli

Antimicrobial resistance (AMR) in Escherichia coli is a critical global health challenge, particular...

Designing a Model to Detect Beta Burst in EEG Using Nonlinear Dynamic Features Based on Machine Learning

Beta bursts are brief, transient increases in beta-band (13–30 Hz) EEG activity that play a key role...

BERT-T6: Towards High-accuracy T6SS Bacterial Toxin Identification Using Protein Language Model

Type VI secretion system effectors target the cell wall, membranes and nucleic acids, leading to the...

AI-guided competitive docking for virtual screening and compound efficacy prediction

Machine learning has transformed how we predict protein structures and interactions, but its full po...

Multiplex mapping of protein-protein interaction interfaces

We describe peptide mapping through Split Antibiotic Resistance Complementation (SpARC-map), a metho...

Coenzyme A depletion causes antibiotic tolerance in Pseudomonas aeruginosa

The widespread use of antibiotics promotes both resistance and tolerance. While resistance enables b...

From sequence to signature: Machine learning uncovers multiscale feature landscapes that predict AMR across ESKAPE pathogens

Since the clinical introduction of antibiotics in the 1940s, antimicrobial resistance (AMR) has beco...

Predicting pyrazinamide resistance in Mycobacterium tuberculosis using a graph convolutional network

Pyrazinamide is an important first-line antibiotic for treating tuberculosis and resistance is prima...

The Liver is an Inflammatory Mediator of Pulmonary Arterial Hypertension

Inflammation is central to pulmonary arterial hypertension (PAH) pathogenesis. The liver regulates s...

Enhancer-AAVs allow genetic access to oligodendrocytes and diverse populations of astrocytes across species

Proper brain function requires the assembly and function of diverse populations of neurons and glia....

The Regional Landscape of the Human Colon Culturome in Health and Cystic Fibrosis

Cystic fibrosis (CF) alters gut physiology, yet its impact on microbial communities across colonic r...

Self-supervised learning enables robust microbiome predictions in data-limited and cross-cohort settings

The gut microbiome plays a crucial role in human health, but machine learning applications in this f...

A natural history of AMR in Klebsiella pneumoniae: Global diversity, predictors, and predictions of evolutionary pathways

Antimicrobial resistance (AMR) is a substantial and growing global health burden. Understanding, and...

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