Infectious Disease

Advances in the application of photodynamic diagnosis in Skin Tumors.

Photodynamic Diagnosis (PDD) is a non-invasive imaging technique. It relies on a photosensitizer that, when activated by a specific light source, causes metabolically active tissues like tumors to emit visible red fluorescence. PDD offers high sensitivity, high specificity, and real-time visualization. This article reviews advances in the use of PDD for common cutaneous tumors, including Keratinoc...

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. Artificial intelligence-guided development of novel QACs is constrained by historically sparse structure-activity data and methods to generate novel chemical entities with bioactivity. This paper presents a comparative experimental study of two computatio...

A Dual-Model Machine Learning Framework for Interpretable Design and Ensemble Prediction of C-Amidated Antimicrobial Peptides.

Antimicrobial peptides (AMPs) offer promising alternatives to conventional antibiotics, yet most predictive models fail to account for chemical modifi...

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...

A multi-gradient microfluidic chip-based neutrophil chemotaxis analysis for sepsis auxiliary diagnosis and prognostic monitoring.

Sepsis involves life-threatening immune dysregulation where impaired neutrophil chemotaxis is a critical indicator. We developed a multi-gradient neut...

Surgical MAchine learning model for predicting Risk of postoperative infecTions in general elective surgery (SMART): A modelling study.

OBJECTIVE: To apply a machine learning (ML) model that we developed and internally validated for predicting postoperative infection likelihood after e...

Biosensor-based diagnosis for infectious diseases: Nano-enabled revolution.

Infectious diseases (IDs) pose a significant global health threat, exacerbated by the rise of multidrug-resistant (MDR) and antimicrobial-resistant (A...

CTKGR: temporal knowledge graph enhanced prediction of in-hospital events for pneumonia patients using electronic health records.

OBJECTIVE: This study aims to develop an advanced clinical event prediction model leveraging the temporal characteristics embedded within electronic h...

A simulation-based deep learning framework for spatially explicit malaria modeling of CRISPR suppression gene drive mosquitoes.

Engineered CRISPR gene drives are a promising new strategy for fighting malaria and other vector-borne diseases. One useful approach to predict the ou...

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...

Common factors and unique pathways for linkages between HIV/STI prevention and syndemic behaviours in high-risk youth: protocol for a secondary analysis of harmonised data from six clinical trials.

INTRODUCTION: HIV/sexually transmitted infection (STI) prevention interventions are only modestly successful among youth, particularly for young peopl...

Explainable machine learning with routine biomarkers identifies culture-defined bacteremic urosepsis.

Urosepsis is a severe complication of urinary tract infection (UTI) and may lead to organ dysfunction and death. Early identification remains challeng...

Real-time digital prescriptions unlock influenza dynamics: evidence from 21 million transactions.

Traditional influenza surveillance suffers from 1-2 week reporting delays that compromise outbreak response. We analyzed 21.08 million digital prescri...

RNA therapeutics 2.0: Expanding the landscape from mRNA vaccines to splicing modulators and beyond.

RNA therapeutics have progressed into a disruptive drug class quickly, replacing a variety of primary experimental agents which included vaccines, ant...

Exploring the impact of reimbursement ratios on willingness to vaccinate: A mixed-effects modeling approach using panel data.

Vaccination remains one of the most cost-effective methods for disease prevention. However, utilization of self-paid vaccines, including EV71, varicel...

Host-focused immunity, metabolism, and diagnostic innovation for precision control of tuberculosis globally.

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains one of the deadliest infectious diseases worldwide. Despite advances in treatme...

YTHDF2 promotes m6A-modified HSPA2 translation to restrict Newcastle Disease Virus.

Newcastle disease virus (NDV), a highly contagious avian pathogen, causes devastating economic losses in poultry worldwide, yet the role of epitranscr...

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...

A Deep Learning Framework for Identifying Essential Proteins Based on Vision Transformer.

Essential proteins are fundamental to the reproduction and survival of cells, and if they are killed, the cells will stop reproducing or die. Many com...