Sepsis

Small-molecule fluorescent probes for the aminergic GPCRs - What new tool compounds do we have post-2014 and what can they do?

Aminergic G protein-coupled receptors (GPCRs) are heavily involved in the physiological functions of the human body and represent prominent drug targets for numerous diseases. Despite extensive work over the years, knowledge gaps persist as not all aminergic GPCRs are currently drugged. This gap could be addressed by using small-molecule fluorescent probes across a range of assay formats and exper...

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications.

The immune defense function protecting the body from invasive pathogens is a key indicator of an individual's health and lacks of methods for quantitative evaluation. This study introduces ImmuDef, a novel algorithm for precisely and quantitatively assessing anti-infection immune defense function based on RNA-seq data. ImmuDef selects immune signatures through comparisons of acquired immunodeficie...

Limitations in the Design of Critical Care Studies and Suggestions for Future Research Directions.

Glucocorticoid (GC) therapy has been a cornerstone of critical care; however, its full potential has been constrained by fixed-dose regimens and trial...

Detection of parkinson's disease with neuroimaging modalities using machine learning and artificial intelligence: a systematic review.

The application of machine learning (ML) and artificial intelligence (AI) algorithms in medical imaging is an emerging area of interest, particularly ...

Identification of Risk Factors and Development of Machine Learning Prediction Models for Inpatient Calcium Pyrophosphate Deposition Disease Flares.

OBJECTIVE: The risk factors for inpatient calcium pyrophosphate deposition disease (CPPD) flares remain poorly defined. This study aimed to identify i...

Effect of Helicobacter pylori infection on deep learning-assisted detection of gastric neoplastic lesions under white light endoscopy.

BACKGROUND: Artificial intelligence (AI)-assisted endoscopy facilitates upper gastrointestinal lesion detection. Whether Helicobacter pylori (H. pylor...

Optimizing sepsis mortality prediction using hybrid federated learning and explainable AI framework.

Machine Learning-Based Clusters of Vital Signs and Lactate Levels Predict Vasopressor Use in Sepsis.

OBJECTIVE: Sepsis remains a major clinical challenge because of its complex, heterogeneous, and multidimensional clustering patterns. This study aimed...

Development and deployment of an interpretable stacking ensemble model for predicting in-hospital mortality in ICU patients with chronic kidney disease and sepsis.

OBJECTIVE: To develop an interpretable stacking ensemble model for predicting in-hospital mortality in intensive care unit (ICU) patients with CKD and...

Recent advances in gold and zinc oxide nanoparticles: Antibiofilm action, mechanisms beyond ROS generation, and in vivo efficacy.

Gold (Au) and zinc oxide (ZnO) nanoparticles (AuNPs/ZnONPs, respectively) are well-established antimicrobial nanomaterials with broad-spectrum activit...

Automated high-throughput microscopy screening unveiled new Listeria monocytogenes genes involved in cell infection.

To uncover novel genetic factors required for Listeria monocytogenes cell infection, we developed an automated high-throughput microscopy screening pi...

CT-free attenuation and scatter correction of [11C]CFT brain PET using a Bi-directional matching network.

Quantitative PET imaging requires accurate attenuation and scatter correction (ASC), but the standard CT-based method introduces additional radiation ...

Machine learning to assess correlated sociodemographic and socioeconomic community-level data and association with sepsis incidence.

Superior machine learning model for post-cardiac arrest mortality prediction: a MIMIC-IV cohort study.

BACKGROUND: Post-cardiac arrest syndrome carries substantial mortality despite advances in resuscitation. We developed a machine learning model to pre...

Impact of continuing renin-angiotensin-aldosterone system inhibitors before surgery on intraoperative hypotensive events: a secondary analysis of the STOP-or-NOT Trial.

BACKGROUND: The multicentre STOP-or-NOT trial has shown that continuation of renin-angiotensin-aldosterone inhibitors (RAASis) before major noncardiac...

Comparison of blood sample quality and test results between robotic and manual venipuncture: a pilot study.

OBJECTIVES: This study aimed to evaluate the feasibility of robotic venipuncture in clinical settings and compare its performance with manual venipunc...

Rapid Point-of-Care Inflammatory Cytokine Monitoring during Normothermic Liver Perfusion via a Multiplexed Paper-Based Vertical Flow Assay.

The advent of normothermic machine perfusion (NMP) has substantially enhanced liver transplantation outcomes by enabling physiologic preservation and ...

Comprehensive Analysis of Autophagy-Related Gene Profiles and Immune Characteristics in Parkinson's Disease.

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by dopaminergic neuronal loss and α-synuclein pathology, yet the ro...

Immunoprotective and neuroprotective properties of gut microbiome in psoriasis.

Psoriasis impacts nearly 100 million people globally and is associated with neuropsychiatric comorbidities such as depression and anxiety. With gut mi...

Strain-specific metabolic endpoints and predictive phase classification in gnotobiotic kimchi fermentation.

Fermentation is driven by dynamic interactions between substrates and microbial communities. However, the complexity of natural consortia limits their...