Sepsis

Neural networks and behavioral frameworks to analyse the impact of media and individual awareness for controlling epidemics.

Enhancing individual awareness and immunization are generally recognized as fundamental strategies for controlling infectious diseases. Awareness is influenced by both mass media and interpersonal interactions, which affect individuals' protective behaviors and their readiness to participate in vaccination programs. This research establishes a hybrid framework combining evolutionary game theory (E...

Integrated single-cell RNA sequencing and Bulk-RNA technologies reveal the immunological characteristics of lactylation related-genes in glioblastoma.

OBJECTIVE: Glioblastoma (GBM) is the most aggressive type of intracranial malignant tumor, known for its extremely poor prognosis. Lactylation, a newly identified post-translational modification, has been linked to tumorigenesis, though its specific role in GBM remains unclear. This study aims to integrate single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (RNA-seq) data to create a no...

Application value and challenges associated with plasma cell-free DNA metagenomic sequencing technology in the diagnosis of infections in patients with hematological disorders.

In patients with hematological disorders, the high risk of complex infections caused by immune dysfunction and intensive therapies poses a major chall...

[A two-stage model for predicting postoperative pulmonary infection in esophageal cancer patients].

Postoperative pulmonary infection (PPI) after esophageal cancer surgery occurs frequently and severely impairs patients' prognosis. Most existing pred...

[The research progress and outlook on the effects of different exercise modalities on working memory function in middle-aged and elderly individuals].

This review provides a comprehensive analysis of the effects of different exercise modalities on working memory function in middle-aged and older adul...

Microfluidic-electrochemical sweat patches for athletes: monitoring lactate, electrolytes, and hydration status.

Wearable biochemical sensing is shifting sports physiology from intermittent laboratory sampling toward continuous, in situ readouts during training a...

Predicting SIRS after PCNL using machine learning: the joint impact of sarcopenia and staghorn stones.

PURPOSE: To develop and validate machine learning models for predicting systemic inflammatory response syndrome (SIRS) after percutaneous nephrolithot...

Diagnosis of Small Focal Liver Lesions (≤2 cm): A Deep Learning Approach Based on B-Mode Ultrasound and Contrast-Enhanced Ultrasound.

BACKGROUND: To develop and validate a deep learning (DL) model based on feature fusion with B-mode ultrasound (BMUS) and contrast enhanced ultrasound ...

A prediction model based on tumor immune microenvironment for immunotherapy response in gastric cancer.

This study aimed to develop a robust prediction model- using machine-learning algorithms based on the core indicators of the tumor immune microenviron...

An interpretable XGboost algorithm for predicting 30-day mortality in acute pancreatitis using routine biomarkers.

OBJECTIVE: To develop and validate a machine learning (ML) algorithm for predicting 30-day mortality in adult patients with acute pancreatitis (AP) us...

Smart Systems, Saved Lives: Using AI to Identify Deteriorating Sepsis Patients in Adult Critical Care.

Sepsis remains one of the leading causes of mortality in adult critical care, representing a dysregulated host response to infection. Despite advances...

From clusters to clinical rules: unsupervised machine learning identifies four newborn hearing phenotypes with bedside risk stratification.

OBJECTIVE: To identify risk patterns among high-risk newborns associated with hearing screening failure using unsupervised machine learning. STUDY DES...

High-Throughput Recognition and Detection of Multiclass Antibiotics Based on Fluorescence-Ultraviolet Dual-Signal CQDs Sensor Array.

The high structural similarity of antibiotics and interference from complex environmental matrices significantly hinder the precise identification and...

Is cellular senescence a biological feature of Long COVID? A transcriptomic analysis across comparative post-acute sequelae phenotypes.

INTRODUCTION: Cellular senescence, involving cell-cycle arrest and inflammatory factor release, may play a role in Long COVID development. We investig...

Predictive value of PfEMP1 antibody profiles for the course of controlled human malaria infections.

Antibody-mediated immunity directed against Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) is an important immune mechanism for protect...

On the utility of ChatGPT in conducting a literature review on deep learning for dopamine transporter SPECT with [¹²³I]ioflupane.

AIM: This study evaluated ChatGPT (GPT-5.2) for drafting a review paper on deep learning in dopamine transporter (DAT)-SPECT with [¹²³I]ioflupane. MET...

Longitudinal Biomarker Trajectories for EVD-Associated Infection Prediction: A Trajectory-Based Machine Learning Framework with Biological Onset Characterization.

BACKGROUND: EVD-associated infection occurs in 1-40% of patients with indwelling external ventricular drains. Assessing cerebrospinal fluid (CSF) para...

Multi-strategy investigation identifies amentoflavone as a novel D3R antagonist for Parkinson's disease treatment.

BACKGROUND: Parkinson's disease (PD) still lacks therapies that can simultaneously improve symptoms and slow neurodegenerative progression, making the...

Network analysis reveals that bHLH transcription factors positively regulate rice resistance to Magnaporthe oryzae.

Transcription factors (TFs) and nucleotide-binding leucine-rich repeat (NLR) genes are core components of the immune response in rice against Magnapor...

Real-Time and Non-Invasive Detection of Respiratory Viral Infections Using an Intelligent Odor Monitoring System (IOMS).

Real-time monitoring of infection-associated volatile organic compounds (VOCs) offers a non-invasive pathway for early respiratory infection detection...