Sepsis

Automated Eosinophil Quantification Using Deep Learning to Predict Therapy Escalation in Pediatric Ulcerative Colitis.

BACKGROUND: Emerging evidence implicates eosinophils as important modulators of disease activity and...

Machine learning-advanced hydrogel-based transcription-coupled positive-feedback CRISPR/Cas13a analysis for novel microRNA signatures in differential diagnosis of non-small cell lung cancer.

MicroRNAs (miRNAs) hold significant potential as biomarkers for the precise diagnosis of non-small c...

Antibiotic resistance prediction with an attention-based bi-LSTM clinical decision support system.

BACKGROUND AND OBJECTIVE: Antimicrobial resistance is recognized by the World Health Organization as...

Lactate-albumin ratio predicts in-hospital mortality in critically Ill patients with congestive heart failure and diabetes.

OBJECTIVE: To evaluate the predictive utility of the initial lactate-to-albumin ratio (LAR) measured...

A Transformer for Reaction-Aware Compound Explorations with GFlowNet in QSAR-Guided Molecular Design.

In drug discovery tasks, achieving a balance between high biological activity toward therapeutic tar...

A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation.

Some schizophrenia patients share characteristics with behavioral variant frontotemporal dementia (b...

Identification and multi-layered experimental validation of feature genes related to butyrate metabolism and oxidative stress in sepsis.

The mechanisms underlying sepsis remain poorly understood and specific therapeutic options remain la...

Herbal extracts as antibiotic adjuvants against ESKAPE pathogens: mechanisms and therapeutic potential.

The escalating crisis of antimicrobial resistance, particularly driven by ESKAPE pathogens, poses a ...

Automated estimation of drain output in postoperative patients using deep learning on clinical images.

Postoperative drains are essential components of care in general surgery and intensive care units, w...

Identification of Mitochondrial Signature Biomarkers and Molecular Mechanisms in Atherosclerotic Tissues and Blood: Combined Single-Cell and Bulk RNA Sequencing Analysis.

Atherosclerosis (AS) is a leading cause of cardiovascular disease and stroke. Although mitochondria'...

Association between platelet-albumin-bilirubin score and 30-day in-hospital mortality in patients with sepsis: evidence from a large database and machine learning modeling.

SyntheMol-RL: a flexible reinforcement learning framework for designing easily synthesizable antibiotics.

The rise of antibiotic-resistant pathogens such as Staphylococcus aureus has created an urgent need ...

A robotic wound care patient for evidence-based surgical site infection research.

BACKGROUND: Surgical site infections (SSIs) are among the most common and preventable postoperative ...

Functional cortical network alterations in Parkinson's disease with wearing-off revealed by resting-state fNIRS and graph theory.

Wearing-off (WO) is a common motor complication in Parkinson's disease (PD), characterized by the re...

Integrating theory and machine learning to reveal determinants of plasmid copy number.

Plasmids are extrachromosomal mobile genetic elements whose copy numbers (PCNs) critically influence...

Lightweight large language models for early sepsis prediction via a semantic abstraction rule engine.

Sepsis remains a major global health challenge due to its high mortality rate and the difficulty of ...

Explainable machine learning using urinary metabolomics to predict pediatric sepsis-associated acute kidney injury: a two-center prospective observational study.

Sepsis-induced acute kidney injury (S-AKI) is a common and serious complication in critically ill ch...

Generative artificial intelligence for surgical site infection surveillance.

BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive....

Can machine learning support infection control measures by predicting carbapenemase-producing Enterobacterales colonization at admission?

BACKGROUND: Early identification of patients with carbapenemase-producing Enterobacterales (CPE) col...

Serum-antibody Profiling of H3N2-infected Ferrets Using a Combinatorial Phage-display Random Peptide Library.

The repertoire of antibodies in serum, known as the "IgOme", is highly diverse and unique to each in...

Rhythms of mood: Bidirectional regulation of molecular clocks and neurotransmission in affective disorders.

Mood disorders, primarily major depressive and bipolar disorder, are characterized by significant ne...