Intensivists

Single cell mechanodeformation signatures as early biomarkers for hematological malignancies.

Single-cell mechanical profiling of deformations has become a promising method of identifying a functional biomarker in patients with blood cancers. By quantifying the physical and mechanical properties of individual cells, this method examines the biomechanical changes that occur after alterations in the structure of the cytoskeleton, as well as changes occurring within the nucleus or chromatin a...

Dissecting the pathobiology of suspected sepsis through a comparative analysis of endothelial inflammatory and clinical prediction models.

Sepsis remains a formidable challenge in critical care, and is characterized by profound circulatory and cellular abnormalities driven by both systemic inflammation and widespread endothelial dysfunction. However, the relative predictive utility of biomarkers representing these pathways versus standard clinical data is uncertain. In this analysis, we sought to conduct a comparative analysis of pre...

Screening of Sepsis Diagnostic Biomarkers Based on Fumarate Metabolism-Related Genes with Analysis of Immune Infiltration and Subtype Identification.

BACKGROUND: Sepsis is a major global health challenge characterized by a complex pathogenesis involving an early hyperinflammatory phase followed by a...

Predicting 28-day all-cause mortality in critically ill ischemic stroke patients using white blood cell-to-hemoglobin ratio and dual-feature selection machine learning models.

BACKGROUND: The white blood cell-to-hemoglobin ratio (WHR) is a composite biomarker of inflammation and nutrition, but its prognostic role in critical...

Transforming hypoglycemia prediction in adult type 1 diabetes: a systematic review and meta-analysis for precision care.

Type 1 diabetes mellitus (T1DM) patients require lifelong insulin therapy; however, iatrogenic hypoglycemia remains a major clinical challenge, with h...

Metabolic-inflammatory burden predicts mortality in heart failure across population and ICU cohorts.

BACKGROUND: Systemic metabolic and inflammatory disturbances play a critical role in the pathogenesis and prognosis of heart failure (HF). However, it...

Beyond binary AKI classification: development and external validation of a distributional model predicting serum creatinine and urine output trajectories in ICU patients.

BACKGROUND: Acute kidney injury (AKI) is a frequent, severe complication in the intensive care units (ICU). Existing machine learning models are typic...

Cellulose handsheet-based piezoresistive sensor with screen-printing-inspired microisland arrays for wearable handwriting recognition.

Cellulose-based materials simultaneously exhibit degradability, biocompatibility, and cost-effectiveness, making them promising eco-friendly component...

Ventral hernia repair in emergency settings. A machine learning model to predict post-operative complications.

BACKGROUND: Emergency ventral hernia repair remains a challenging procedure due to patient instability, contaminated surgical fields, and heterogeneit...

Agentic GPT-5.0 system outperforms standard large language models and human experts in critical care clinical decision-making: a simulation study.

BACKGROUND: Agentic artificial intelligence (AI) systems employing multi-model architectures with iterative reasoning may surpass standard single-mode...

A temporal deep learning algorithm for prediction of extubation failures in critical care patients.

Extubation failure in ICU patients is associated with poor outcomes. Existing prediction models often rely on static data, missing dynamic disease flu...

Early prediction of in-hospital mortality in ICU patients with heart failure using an interpretable machine learning model: a retrospective study based on MIMIC-IV.

BACKGROUND: Heart failure (HF) remains a major cause of morbidity and mortality worldwide, and acute decompensation frequently necessitates intensive ...

Hybrid model based on fuzzy logic and classification trees for the prediction of mortality of critical trauma patients: Pre-hospital variables from the RETRAUCI registry.

BACKGROUND: In critically injured trauma patients, tools that stratify injury severity and estimate mortality are essential. Fuzzy logic (FL) enables ...

Association between the endothelial activation and stress index and 28-day all-cause mortality in critically ill patients with chronic obstructive pulmonary disease: a retrospective cohort study and predictive model establishment based on machine learning.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) remains a major global health burden and is currently the third leading cause of death worldw...

EXPRESS: Diagnostic Value of Short-Term Longitudinal Clinical and Laboratory Trajectories for Gram-Negative Bacteremia in ICU Patients.

Early identification of gram-negative bacteremia in intensive care units (ICUs) remains challenging at the time of blood culture sampling, when clinic...

A Lightweight LSTM-Transformer Fusion Architecture for Real-Time Sepsis Mortality Prediction.

BackgroundAccurate prediction of short-term mortality in sepsis patients is critical for timely clinical decision-making. However, existing deep learn...

Early sepsis prediction using a hybrid LSTM-GAT model: a study on the PhysioNet 2019 dataset.

OBJECTIVE: Sepsis is a potentially fatal systemic response to infection, in which early clinical intervention is critical to reduce mortality. This st...

Positron emission tomography imaging of inflammation and infection in children: an update.

Positron emission tomography (PET) has been used in pediatric oncology since the modality gained traction 20 years ago but has been used more sparingl...

Beyond NIHSS and neuroimaging: an interpretable gradient boosting model for predicting in-hospital mortality in ICU patients with acute ischemic stroke.

This study aimed to develop an interpretable machine learning model for predicting in-hospital mortality among acute ischemic stroke (AIS) patients ad...

Research progress on biomarkers for acute kidney injury in children.

Pediatric acute kidney injury (AKI) often presents insidiously and progresses rapidly. Traditional diagnostic criteria based on serum creatinine and u...