Bacterial Infection

Advances in Pathogen Detection by Nanosensors: Biorecognition Strategies, Signal Amplification, and Platform Engineering.

The escalating global threat of infectious diseases, compounded by antimicrobial resistance (AMR), calls for improved diagnostic strategies. Conventional pathogen detection techniques─culture, enzyme-linked immunosorbent assay (ELISA), and microscopy─remain hindered by prolonged turnaround times, suboptimal sensitivity for low-abundance analytes, and operational intricacy. Nanosensor technologies ...

Revolutionizing hepatic fibrosis staging: A machine learning approach combining clinical, biochemical, and microbiome insights.

Non-alcoholic Steatohepatitis (NASH) is a common disease that not only affects adults but has also been seen to affect all ages. This includes young adults, children and even babies. Non-alcoholic fatty liver disease (NAFLD), NASH and the progression of it to fibrosis have been the subject of extensive research, as there still remains a great deal we do not understand. There are multiple factors t...

Dysbiosis of fecal virome in pediatric Crohn's disease and its dynamic changes during infliximab therapy.

UNLABELLED: The gut virome is an emerging but underexplored component of the human microbiota, especially in pediatric Crohn's disease (CD). This stud...

The role of medical imaging in translational research into early pulmonary tuberculosis.

Early detection of tuberculosis (TB) is central to global efforts for TB care and prevention. Conventional symptom-based screening and sputum microbio...

The oral cavity of chronically homeless adults is home for unusual extremophile environmental bacteria.

Chronically homeless adults (CHA) face limited healthcare access, frequent substance use, contact with animals that significantly alter their oral mic...

Harnessing bacterial power and omics technologies for sustainable plastic waste biodegradation.

Plastic pollution constitutes a critical environmental concern of this era, with synthetic polymers, i.e., polyethylene (PE), polyethylene terephthala...

An integrated water quality assessment and its prediction utilizing the CWQI, CRITIC based-improved CWQI, sensitivity analysis, multivariate techniques, machine learning algorithms and GIS approaches to determine pollution intensities in the river basin (Odisha).

The Mahanadi River is a vital water resource for the Odisha region, supporting both local agriculture and drinking water needs. However, increasing hu...

AMR-GNN: a multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction.

Whole-genome sequencing (WGS) data are an invaluable resource for understanding antimicrobial resistance (AMR) mechanisms. However, WGS data are high-...

Artificial Intelligence-based Gram Stain Classification: Accuracy and Clinical Utility in Positive Blood Cultures.

INTRODUCTION: With the rapid advancement of artificial intelligence (AI) technology, AI has been applied to the detection of pathogens that cause infe...

Topology-Aware Generation and Activity-Based Filtering: A Computational-Experimental Framework for Data-Scarce Quaternary Ammonium Compound Discovery.

Quaternary ammonium compounds (QACs) are widely used antimicrobial disinfectants whose efficacy is threatened by increased bacterial resistance. Artif...

A Biologically Lubricating Allicin-Based Nanoplatform for Remodeling the Inflammation-Senescence Axis in the Treatment of Periodontitis.

Periodontitis is driven by a self-reinforcing cycle of persistent inflammation and cellular senescence, further exacerbated by pathogenic microbial co...

A machine learning-assisted Ag-TiO2 SERS platform for intraoperative osteomyelitis diagnosis.

Osteomyelitis is a progressive bone infection with high disability and recurrence rates. However, current diagnostic approaches, including bacterial c...

Atomic Fe-Centered Hemin-TiO2 Graphdiyne Nanozyme Sensor for Colorimetric Fingerprinting of Bacterial Extracellular Vesicles.

Accurate identification of urinary pathogens is essential for the timely diagnosis and effective management of urinary tract infections (UTIs). Bacter...

Global analysis of protein degradation reveals instability of diverse regulators in Escherichia coli.

Regulated protein degradation underlies the timely execution of essential gene expression programs in bacteria. Here, we deployed time-resolved chemop...

Utilization of biocatalysts in an artificial photosynthesis system: A biotechnological approach towards sustainable development.

Harnessing solar energy more efficiently and sustainably remains a key challenge in advancing renewable, bio-based production systems. Artificial phot...

Cross-species gene redesign leveraging ortholog information and generative modeling.

Conventional approaches to heterologous gene expression rely on codon optimization, which is limited to swapping synonymous codons and fails to captur...

MycoPermeNet-v2: Improved Prediction of Mycomembrane Permeation Using Fusion Noisy Student Self-Distillation.

Machine learning (ML) techniques offer a promising path for accelerating antibiotic discovery by computationally predicting and optimizing desirable p...

Rapid Diagnosis of Bacteremia in Febrile Pediatric Oncology Patients via Host-Response Infrared Spectroscopy of Blood and Machine Learning.

Bacteremia is a life-threatening complication and a leading cause of sepsis and septic shock in patients. Conventional diagnostic methods, such as blo...

Nano-antimicrobial peptides (Nano-AMPs) to combat resistant gram-negative bacteria.

The emergence of antimicrobial resistance (AMR) poses a critical threat to public health worldwide, making conventional antibiotics ineffective agains...

Techniques to Detect and Quantify the Bacterial Metalloprotease AprX in Bovine Milk: A Review.

The heat-stable metalloprotease AprX, secreted by psychrotrophic Pseudomonas spp., is a major cause of quality deterioration in dairy products, partic...