Bacterial Infection

Optical photothermal infrared (OPTIR) spectroscopy assisted by machine learning for lactic acid bacteria identification at strain level.

Lactic acid bacteria (LAB) are widely used in food, health, and biotechnology sectors, where accurat...

Smartphone-based multispectral autofluorescence analysis of bacteria mixtures of staphylococci using convolutional neural network.

Improved screening for pulmonary Kaposi sarcoma in a low-resource setting.

OBJECTIVE: The lung is commonly involved in advanced Kaposi sarcoma (KS) but diagnosis of pulmonary ...

SERS technology helps bacterial inactivation in vivo: including detection, identification, and evaluation.

The problem of bacterial infection and antimicrobial resistance has become a major challenge threate...

Engineered Supramolecular Therapeutics in Development for Combating Antibiotic-Resistant Bacterial Infections.

The emergence of antibiotic-resistant bacteria has rendered conventional antibiotic treatments ineff...

Identification of Chlamydia pneumoniae and NLRP3 inflammasome activation in Alzheimer's disease retina.

Chlamydia pneumoniae is an intracellular bacterium implicated in Alzheimer's disease (AD), but its r...

Targeted SERS Nanoparticle Accumulation on Bacteria Enables On-Site Accurate Vibrio Typing in 10 min with AI-Powered SERS.

Vibrio infections progress rapidly with high mortality, yet current diagnostics fail to meet the cri...

Vancomycin resistance in gram-positive infections: evolutionary strategies of survival.

Vancomycin is a critical glycopeptide antibiotic for treating severe infections caused by Gram-posit...

Elucidating the link between NS-SNP-Induced protein conformational changes and drug resistance in Klebsiella pneumoniae.

The escalating drug-resistance of Klebsiella pneumoniae (K. pneumoniae), a leading cause of both com...

Classification and detection of Salmonella, Escherichia coli O157:H7, and Listeria monocytogenes using Fourier-transform near infrared spectroscopy coupled with machine learning.

This study was conducted to investigate the potential use of Fourier-transform near-infrared (FT-NIR...

One-Step Design of Potent and Nonhemolytic Antimicrobial Peptides by Using a Database-Guided, Nonmachine Learning Approach.

The search for antibiotics is urgent because of the global antibiotic resistance problem. While a va...

Establishment of threshold of human gut microbes and risk assessment system for colorectal cancer.

BACKGROUND: Being involved in the occurrence of colorectal cancer (CRC), gut microbes are potential ...

Whole-genome sequencing and comparative genomics reveal antimicrobial potential and adaptive traits of Bacillus velezensis AM12.

The global rise of antimicrobial resistance has intensified the demand for novel antimicrobial agent...

A novel hypothetical protein (SAUSA300_1684) confers excellent protection against multi-drug-resistant Staphylococcus aureus infection in the murine model.

Staphylococcus aureus is a leading cause of nosocomial infections, including sepsis, bacteraemia, pn...

Deconstruction by C. thermocellum-from microbe mediated to dynamic redistribution of cellulosomes.

Clostridium thermocellum is one of the most efficient microorganisms for the deconstruction of cellu...

Ai derivation and exploration of antibiotic class spaces.

PURPOSE: The rapid evolution of antibiotic-resistant bacteria poses an urgent global health crisis. ...

Machine learning-based typing of Clostridium botulinum group III by FT-IR spectroscopy.

This study aimed to investigate the utility of Fourier-Transform Infrared Spectroscopy (FT-IRS) for ...

Future Prospects for Using Clinical Phenotypes in Tuberculosis Precision Medicine-An Approach for Clinical Management.

Developing shorter treatment regimens for tuberculosis requires careful characterization of the clin...

Caries Microbiome: time to move from blame to balance.

BACKGROUND: Advances in next-generation sequencing(NGS) and multi-omics approaches reinforced the co...

Identification of molecular compounds targeting bacterial propionate metabolism with topological machine learning.

This study demonstrates the transformative potential of machine learning in drug discovery by integr...

Artificial intelligence in the diagnosis and prognosis of pediatric bacterial pneumonia: current advances and challenges.

PURPOSE OF REVIEW: The clinical presentation of pediatric bacterial pneumonia often overlaps with th...