Infectious Disease

Bacterial Infection

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

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Showing 1702-1722 of 4,965 articles
Pan-infection Foundation Framework Enables Multiple Pathogen Prediction

Host-response-based diagnostics can improve the accuracy of diagnosing bacterial and viral infecti...

Adversarial Contrastive Domain-Generative Learning for Bacteria Raman Spectrum Joint Denoising and Cross-Domain Identification

Raman spectroscopy, as a label-free detection technology, has been widely utilized in the clinical...

SAMP: Identifying antimicrobial peptides by an ensemble learning model based on proportionalized split amino acid composition.

It is projected that 10 million deaths could be attributed to drug-resistant bacteria infections in ...

(2)
Dec 2024 39573886
Deep learning revealed the distribution and evolution patterns for invertible promoters across bacterial lineages.

Invertible promoters (invertons) are crucial regulatory elements in bacteria, facilitating gene expr...

(1)
Nov 2024 39460615
Identifying Virulence Determinants In Pathogenic Mycobacteria Via Changes In Host Cell Mitochondrial Morphology

The goal of this study is to develop a computational model of the progression of changes in mitoch...

(1)
Deep-Ace: LSTM-based Prokaryotic Lysine Acetylation Site Predictor

Acetylation of lysine residues (K-Ace) is a post-translation modification occurring in both prokar...

MyData: A Comprehensive Database of Mycetoma Tissue Microscopic Images for Histopathological Analysis

Mycetoma is a chronic and neglected inflammatory disease prevalent in tropical and subtropical reg...

Prediction of Antibiotic Susceptibility in E. coli Isolates Using Machine Learning.

Antimicrobial resistance (AMR) poses a significant global health threat, resulting in 4.96 million d...

(2)
Sep 2024 39320197
DeepPBI-KG: a deep learning method for the prediction of phage-bacteria interactions based on key genes.

Phages, the natural predators of bacteria, were discovered more than 100 years ago. However, increas...

Sep 2024 39344712
Identification of putative coral pathogens in endangered Caribbean staghorn coral using machine learning.

Coral diseases contribute to the rapid decline in coral reefs worldwide, and yet coral bacterial pat...

Sep 2024 39289821
Peptide Sequencing Via Protein Language Models

We introduce a protein language model for determining the complete sequence of a peptide based on ...

Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning

Gram staining has been one of the most frequently used staining protocols in microbiology for over...

(1)
Discovery of novel antimicrobial peptides with notable antibacterial potency by a LLM-based foundation model

Large language models (LLMs) have shown remarkable advancements in chemistry and biomedical resear...

(1)
M5: A Whole Genome Bacterial Encoder at Single Nucleotide Resolution

A linear attention mechanism is described to extend the context length of an encoder only transfor...

Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis

We applied machine learning to the unmet medical need of rapid and accurate diagnosis and prognosi...

A deep learning method to predict bacterial ADP-ribosyltransferase toxins.

MOTIVATION: ADP-ribosylation is a critical modification involved in regulating diverse cellular proc...

Jul 2024 38885365
Detection of hospital super bacteria MRSA from the hands of healthcare professionals using machine learning and hyperspectral imaging.

Healthcare-associated infections resulting from cross-contamination, particularly from the hands of ...

(1)
Jul 2024 40039077
A compact model of Escherichia coli core and biosynthetic metabolism

Metabolic models condense biochemical knowledge about organisms in a structured and standardised w...

PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model

Pathogen identification is pivotal in diagnosing, treating, and preventing diseases, crucial for c...

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