Sepsis

Retraction notice to "Essential blood molecular signature for progression of sepsis-induced acute lung injury: Integrated bioinformatic, single-cell RNA Seq and machine learning analysis" [Int. J. Biol. Macromol. 282 (2024) 136961].

The Best of Both Worlds: How Combining a Large Language Model and a Rule-Based Algorithm Makes Catheter-Associated Urinary Tract Infection Surveillance More Efficient.

BACKGROUND: Catheter-associated urinary tract infection (CAUTI) surveillance is critical for patient safety. Many healthcare systems use electronic algorithms to flag candidate infection events but still require manual chart review to confirm CAUTI cases. We evaluated the use of a large language model (LLM) to enhance CAUTI surveillance. METHODS: We analyzed 919 potential CAUTI cases flagged by th...

Intraoperative spectral imaging versus ICG fluorescence for gastric conduit viability in esophagectomy.

BACKGROUND: Anastomotic leakage remains a critical complication following esophagectomy, occurring in 8-20% of patients. While indocyanine green fluor...

Metagenomic screening of antimicrobial peptide candidates and isolation of two active peptides from bat gut bacteria.

Bacterial antibiotic resistance has intensified the need to identify new antimicrobial molecules from underexplored microbial systems. Wild mammalian ...

Model-Guided Optimization of a Low-Serum Medium for Madin-Darby Canine Kidney Cells Using a Kolmogorov-Arnold Network and Bayesian Optimization.

Madin-Darby canine kidney (MDCK) cells are important hosts for cell culture-based viral vaccine production, but fetal bovine serum (FBS) supplementati...

Adjustment set selection for estimating optimal treatment rules under confounding.

There is an increasing call for individualized treatment rules, which leverage individual patient characteristics to recommend treatments or intervent...

Japanese Health Information Technology Usability Evaluation Scale for Sexually Transmitted Infection-Related Chatbots: Development and Psychometric Validation Study.

BACKGROUND: The rapid expansion of mobile technology has accelerated the integration of health applications and conversational AI into clinical and pu...

AI-Assisted Engineering of Glycyrrhizic Acid/Simvastatin Nanocrystals for Multifunctional Treatment of Bacterial Osteomyelitis.

Bacterial osteomyelitis remains a formidable challenge in clinic because existing monotherapies fail to block inevitable infection, uncontrolled infla...

Machine learning-based prediction of shigellosis in children under five: development and internal validation of a prediction model.

OBJECTIVES: Shigella remains a major cause of diarrhoea and mortality in children under five in low- and middle-income countries, where laboratory con...

Predicting, describing, or measuring? How to align model purpose with validity and applicability in critical care outcome research.

PURPOSE OF REVIEW: Clinical models are commonly applied in critical care for both descriptive and predictive purposes. However, methodological rigour ...

Multiomics and artificial intelligence identify infection associated subtypes and prognostic signatures in hepatocellular carcinoma.

UNLABELLED: Hepatocellular carcinoma (HCC) remains a major global health burden with persistently high morbidity and mortality. Dysregulation of the t...

AI Risk Prediction Tools for Autologous Breast Reconstruction.

BACKGROUND: Autologous breast reconstruction offers patients a durable and natural-appearing option after mastectomy. However, complication risks incl...

Chemical-Sensing Catheters for Long-Term and Personalized Therapeutic Management.

Long-term intravenous catheterization is vital for delivering chemotherapy to cancer patients and parenteral nutrition to those with intestinal failur...

[Sarcoidosis-associated uveitis: Current status and future prospects].

Sarcoidosis-related uveitis is the most common manifestation of ocular sarcoidosis. It can occur at any age but preferentially affects adults aged 30 ...

Bacterial heteroresistance mechanisms, dynamics, and emerging diagnostic approaches.

Antibiotic heteroresistance is a form of within-isolate susceptibility heterogeneity in which an apparently susceptible bacterial population contains ...

Interpretable Machine Learning Model for Predicting Sepsis and Septic Shock Among Patients with Documented Fever at Emergency Department Triage Using Patients' Historical Data.

This study aimed to develop an interpretable machine learning-based scoring system for predicting sepsis and septic shock among febrile patients at em...

Machine learning-based clinical models for prediction of urinary incontinence after robot-assisted laparoscopic radical prostatectomy.

OBJECTIVE: To investigate risk factors for urinary incontinence (UI) after robot-assisted laparoscopic radical prostatectomy (RARP) using interpretabl...

Targeting progressive multiple sclerosis: Toward mechanism-informed precision medicine.

Multiple sclerosis has undergone a therapeutic revolution over the past three decades. Randomized clinical trials and real-world data demonstrate that...

Machine learning-based identification of lactate metabolism-associated biomarkers in non-alcoholic fatty liver disease.

To determine lactate metabolism-associated biomarkers for non-alcoholic fatty liver disease (NAFLD). Based on NAFLD datasets from the gene expression ...

Association of preoperative monocyte level with postoperative delirium in patients receiving cardiac surgery under propofol-based anesthesia: a retrospective study.

BACKGROUND: Postoperative delirium is a common complication after cardiac surgery, and perioperative inflammation may contribute to its development. H...