Bacterial Infection

Gut Microbiota and Metabolic Health: From Dysbiosis to Therapeutics.

The gut microbiota (GM) is a pivotal regulator of host metabolism and a contributor to the pathophys...

The regional landscape of the human colon culturome in health and cystic fibrosis.

UNLABELLED: Cystic fibrosis (CF) alters gut physiology, yet its impact on microbial communities acro...

Bacterial laccases for green remediation of contaminants of emerging concern: from molecular cloning to metagenomic and computational insights.

Contaminants of emerging concern (CECs) are increasingly recognized for their persistence, widesprea...

Feasibility study of fast nuclide identification for beta-emitting sources using learning-based models.

This study investigates the feasibility of rapidly identifying beta-emitting radionuclides based on ...

Early hemodynamic phenotyping in sepsis using transthoracic echocardiography: A proof-of-concept study in a north African ICU.

BACKGROUND: Cardiovascular dysfunction in sepsis is heterogeneous and contributes to poor outcomes. ...

Machine learning analysis of s-EASIX for predicting 30-day mortality in sepsis patients from MIMIC-IV.

Endothelial dysfunction is an important risk factor for the progression of sepsis. The simplified en...

Development and validation of a predictive model for profiling antibiotic resistance phenotypes of Acinetobacter baumannii strains via clinical MALDI-TOF mass spectra: A multicenter study.

Acinetobacter baumannii is a significant pathogen responsible for healthcare-acquired infections (HA...

Operationalizing Sepsis Definitions With Artificial Intelligence: Toward Smarter Antibiotic Use.

Integrative computational and experimental identification of marine bacterial acetylcholinesterase inhibitors against alzheimer's disease.

Alzheimer's disease (AD) is a powerful neurodegenerative disease characterized by cholinergic defici...

Specific diagnostic model for bacterial pneumonia constructed by combining multiple omics and multi machine learning models.

Due to the difficulty in quickly discriminating bacterial pneumonia (BPs) from pneumonia caused by o...

Metabolic engineering of microorganisms for the valorization of C2 feedstocks.

This review summarizes recent advances in the metabolic engineering of microorganisms for the valori...

Harnessing artificial intelligence for antimicrobial discovery and optimization.

The rise of antimicrobial-resistant pathogens has outpaced the traditional methods of drug discovery...

Integrated virtual screening, machine learning and molecular dynamics identify novel phytochemical FabI inhibitors against MRSA.

Methicillin-resistant Staphylococcus aureus (MRSA) infections pose a critical global health threat, ...

A Surface-Enhanced Raman Scattering-Digital Microfluidics Biosensing Platform Integrated with a 1D-Convolutional Neural Network for Noninvasive Detection of Inflammation Markers.

The noninvasive detection of multiple inflammatory markers (IMs) for early sepsis diagnosis is chall...

Label-free saliva screening platform using M13 bacteriophage-based 3D plasmonic structures for MRONJ diagnosis.

Medication-related osteonecrosis of the jaw (MRONJ) is a severe complication associated with antires...

Long-term capsaicin intake and gut inflammation: microbial alterations, metabolic mechanisms, and intervention effects.

The effects of capsaicin consumption on gut health and its mechanisms remain uncharacterized. This s...

Label-Free Differentiation of Antimicrobial Resistance Groups Using Raman Spectroscopy.

Increasing antimicrobial resistance (AMR) has developed into an enormous health burden. Here, a syst...

Flexible Organic Clip as an Adapter to Enhance Host-Guest Nanopore Single-Molecule Sensing.

The host-guest nanopore analysis method provided an avenue for hydrophobic analytes detection. Howev...

A novel transformer-based platform for the prediction and design of biosynthetic gene clusters for (un)natural products.

Biosynthetic gene clusters (BGCs), comprising sets of functionally related genes responsible for syn...

A novel framework integrating a coupled mixing rule with deep learning for toxicity prediction and environmental risk assessment of antibiotic mixtures.

Co-exposure of multiple antibiotics in the environment is widespread, and accurate prediction of ant...

Gradient magnitude-based texture feature of the entorhinal cortex as a biomarker for Alzheimer's disease.

Volumetric analysis of brain structures is widely used to detect pathological changes in Alzheimer's...