Infectious Disease

[Annual progress in critical care of pulmonary medicine 2025].

This review systematically summarizes the annual research advances in the field of critical care of pulmonary, with a focus on pulmonary and critical care medicine (PCCM) worldwide from October 2024 to September 2025. This review focuses on severe pulmonary infections and their associated complications, such as sepsis and acute respiratory distress syndrome (ARDS), with an emphasis on early screen...

Exploring the mechanism of polymorphonuclear neutrophils against sepsis based on immune model.

BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection and remains a major global health challenge. Polymorphonuclear neutrophils (PMNs), as major effectors of innate immunity, are essential for antimicrobial defense but can also contribute to immune dysregulation, tissue injury, and organ failure during sepsis. METHODS: We conducted a narrat...

Microfluidic electroporation for drug and gene delivery: Driving innovation from single-cell precision to high-throughput preclinical and therapeutic platforms.

Intracellular delivery of therapeutic biomolecules represents a fundamental prerequisite for cell-based therapies and precision medicine, yet existing...

Modern machine learning techniques used in prediction of sepsis and bloodstream infection in burn patients: A systematic review.

INTRODUCTION: Burn patients are a group highly prone to sepsis and bloodstream infections (BSIs) due to immune dysregulation, skin barrier loss, and c...

Predictive proteomics: Binary classification of Streptococcus pneumoniae vaccine types via MALDI-TOF MS and supervised learning algorithms.

INTRODUCTION: Laboratory surveillance of Streptococcus pneumoniae serotypes is crucial for the effective implementation of vaccines against invasive p...

Integrated reiterative pipeline for rapid epitope-based pan-alphavirus vaccines.

The vast diversity of the virosphere underscores the need for rapid, adaptable vaccine development infrastructures. Arthropod-borne zoonotic alphaviru...

Informatics for Infection Prevention and Control.

Computer informatics is integral to infection control, a role that will grow as surveillance and reporting become increasingly automated. Surveillance...

Targeting metabolism to combat anticancer and antibacterial drug resistance.

Drug resistance is a major challenge in cancer and infectious diseases, requiring innovative solutions. Recent research suggests that bacteria and can...

Diagnosing orthopaedic infection by identifying neutrophils in whole histology slide images with machine learning trained on publicly available datasets.

AIMS: This study examines the ability of YOLO (You Only Look Once) 11x, a widely used and state of the art object detection model, trained on publicly...

Fingerprinting Fluorescent In Situ Hybridization Enables Multiplexed Identification of Pathogenic Bacteria.

Fluorescence in situ hybridization (FISH) is a highly specific technique for pathogenic bacteria detection that requires no culturing and provides sim...

Culture-Free Microfluidics for Ultra-Rapid Antimicrobial Susceptibility Testing with AI in Resource-Limited Settings.

The misuse of antibiotics has accelerated the rise of antimicrobial resistance (AMR), particularly in resource-limited regions, posing a critical thre...

MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectors.

Identifying effector proteins of secretion systems in Gram-negative bacteria is crucial for deciphering their pathogenic mechanisms and guiding the de...

Vibrotactile feedback aids prosthesis usability.

A noninvasive vibrotactile feedback system integrated with a knee prosthesis can improve perception, user experience, and gait.

Machine learning-based 4-domain framework for evaluating COVID-19 policy responses: a counterfactual analysis of 27 European OECD countries.

OBJECTIVES: European countries implemented highly diverse mitigation policies during the COVID-19 pandemic, ranging from strict nationwide lockdowns t...

MobiRes: An integrative pipeline for resistome risk prediction through mobilome profiling.

Antimicrobial resistance (AMR) poses a significant global health challenge, with the environment serving as a crucial reservoir and conduit for resist...

Latent Supervision: A Method for Improved Performance and Calibration of Machine Learning Classification Models in Ophthalmology.

PURPOSE: Standard supervised learning assumes deterministic labels (e.g., positive or negative, present or absent), neglecting the diagnostic uncertai...

A machine learning-based model to predict multi-time-point prognosis for acute-on-chronic hepatitis B liver failure.

Our prognostic model and mobile application enable multi-time-point prognostic evaluation for patients with acute-on-chronic hepatitis B liver failure...

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. Conventio...

Overview of recent strategic advances in antiviral covalent inhibitors.

Targeted covalent inhibitors (TCIs) have emerged as a promising antiviral modality, functioning through irreversible or reversible modification of con...

Investigating the Effect of Hospital Infection Control Informatization on Optimizing Microbiological Specimen Submission Before Antibiotic Therapy: Failure Mode and Effects Analysis.

BACKGROUND: Antimicrobial resistance (AMR) poses a critical global health threat, with inappropriate antibiotic use being a major driver. Timely micro...