Infectious Disease

Bacterial Infection

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

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MOSTPLAS: a self-correction multi-label learning model for plasmid host range prediction.

MOTIVATION: Plasmids play an essential role in horizontal gene transfer, aiding their host bacteria ...

(2)
Mar 2025 39960880
Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks

According to the World Health Organization (WHO), pneumonia is a disease that causes a significant...

Learn from artificial intelligence: the pursuit of objectivity.

Humans continuously face threats from emerging novel pathogens and antimicrobial resistant bacteria ...

Mar 2025 39933596
Deep-Learning-Based Approaches for Rational Design of Stapled Peptides With High Antimicrobial Activity and Stability.

Antimicrobial peptides (AMPs) face stability and toxicity challenges in clinical use. Stapled modifi...

Mar 2025 40042163
Machine Learning-Based Discovery of a Novel Noncovalent MurA Inhibitor as an Antibacterial Agent.

The bacterial cell wall is crucial for maintaining the integrity of bacterial cells. UDP-N-acetylglu...

Mar 2025 40077992
Towards an AI co-scientist

Scientific discovery relies on scientists generating novel hypotheses that undergo rigorous experi...

(1)
Optimizing Gene-Based Testing for Antibiotic Resistance Prediction

Antibiotic Resistance (AR) is a critical global health challenge that necessitates the development...

Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial Genomics

How can we identify causal genetic mechanisms that govern bacterial traits? Initial efforts entrus...

Reviewing on AI-Designed Antibiotic Targeting Drug-Resistant Superbugs by Emphasizing Mechanisms of Action.

The emergence of drug-resistant bacteria, often referred to as "superbugs," poses a profound and esc...

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Feb 2025 39932058
From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance

Antimicrobial-resistant (AMR) microbes are a growing challenge in healthcare, rendering modern med...

Using core genome and machine learning for serovar prediction in Salmonella enterica subspecies I strains.

This study presents a dual investigation of Salmonella enterica subspecies I, focusing on serovar pr...

(1)
Jan 2025 40210591
Nanopore- and AI-empowered microbial viability inference

The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial f...

Large Language Model-assisted text mining reveals bacterial pathogen diversity

Compiling and characterising the diversity of bacterial pathogens of humans is a critical challenge ...

Exploring the genetic landscape of ciprofloxacin-induced DNA supercompaction in Escherichia coli

DNA-damaging antibiotics like ciprofloxacin induce extensive double-strand breaks in Escherichia col...

Human gut flagellome profiling using FlaPro reveals TLR5-related phenotype-specific alterations in IBD

Flagellin is the protein monomer of the bacterial flagellum, which confers motility, allowing bacter...

The Use of DeepQSAR Models for The Discovery of Peptides with Enhanced Antimicrobial and Antibiofilm Potential

Increasing concerns regarding prolonged antibiotic usage have spurred the search for alternative tre...

PromoterAtlas: decoding regulatory sequences across Gammaproteobacteria using a transformer model

Recent advances in deep learning, particularly transformer architectures, have improved computationa...

Synteny-aware functional annotation of bacteriophage genomes with Phynteny

Accurate genome annotation is fundamental to decoding viral diversity and understanding bacteriophag...

Bacteriocin Prediction Through Cross-Validation-Based and Hypergraph-Based Feature Evaluation Approaches

Bacteriocins offer a promising solution to antibiotic resistance, possessing the ability to target a...

Early antifungal resistance prediction based on MALDI-TOF mass spectrometry and machine learning

Antimicrobial resistance (AMR) is a significant global health threat. Recent studies have shown that...

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