Infectious Disease

Bacterial Infection

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

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Classifier-free Guidance with Adaptive Scaling

Classifier-free guidance (CFG) is an essential mechanism in contemporary text-driven diffusion mod...

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...

The Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care

Under-resourced or rural hospitals have limited access to medical specialists and healthcare profe...

The Price of Linear Time: Error Analysis of Structured Kernel Interpolation

Structured Kernel Interpolation (SKI) (Wilson et al. 2015) helps scale Gaussian Processes (GPs) by...

Engineering the future of medicine: Natural products, synthetic biology and artificial intelligence for next-generation therapeutics.

The eXchange Unit between Thiolation domains approach and artificial intelligence (AI)-driven tools ...

Feb 2025 39856487
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...

Feb 2025 39932058
Identification of DNA damage repair-related genes in sepsis using bioinformatics and machine learning: An observational study.

Sepsis is a life-threatening disease with a high mortality rate, for which the pathogenetic mechanis...

Jan 2025 39889168
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...

DepoRanker: A Web Tool to predict Klebsiella Depolymerases using Machine Learning

Background: Phage therapy shows promise for treating antibiotic-resistant Klebsiella infections. I...

DeepMEns: an ensemble model for predicting sgRNA on-target activity based on multiple features.

The CRISPR/Cas9 system developed from Streptococcus pyogenes (SpCas9) has high potential in gene edi...

Jan 2025 39528429
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...

De novo design of functionally diverse and druggable antimicrobial peptides by diffusion and multimodal deep learning

The escalating crisis of antibiotic resistance underscores the urgent need for innovative anti-infec...

Controllable Protein Design by Prefix-Tuning Protein Language Models

The design of novel proteins with tailored functionalities, particularly in drug discovery and vacci...

PromoterAtlas: decoding regulatory sequences across Gammaproteobacteria using a transformer model

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

Metagenomic polymorphic toxin effector and immunity profiling predicts microbiome development and disease-related dysbiosis

Bacteria use antagonistic interbacterial weapons such as polymorphic toxin secretion systems (TSS) t...

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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