Sepsis

Predicting Pediatric Mortality Across Five Intensive Care Units: Toward an Early Warning Using Machine Learning.

Despite the advances in critical care and innovations of medical technology, earlier identification of children at high mortality risk remains challenging, particularly across heterogeneous pediatric intensive care unit (ICU) settings. In this study, we developed and evaluated unit-specific machine learning (ML) models to support early mortality warning. A Random Forest (RF) classifier was trained...

Assessing AI-Based Decision Support in Early Sepsis and AKI Recognition.

Sepsis and acute kidney injury (AKI) remain among the most critical conditions in acute care, associated with high morbidity and mortality. Early risk recognition is essential but often hampered by nonspecific symptoms. Recent studies have demonstrated that AI- and ML-based Clinical Decision Support Systems (CDSS) can enhance the early detection of sepsis and AKI and support clinical decision-maki...

Interpretable Feature Extraction from Clinical Notes for Sepsis Prediction: Comparing Rule-Based, LLM, and Hybrid Approaches.

Embedding-based approaches integrate clinical notes into sepsis prediction models but produce uninterpretable representations, obscuring which clinica...

Precision pharmacology of CNS GPCRs: From biased signaling to translational therapeutics.

G protein-coupled receptors (GPCRs) represent one of the most extensively targeted receptor families in central nervous system (CNS) pharmacology. Rec...

Integrating network pharmacology, molecular docking, machine learning, and experimental validation: puerarin improves sepsis-induced acute kidney injury via the Sirt1-Nrf2-HO-1 pathway.

Acute kidney injury (AKI) associated with sepsis has a high clinical mortality rate, and there is a lack of effective therapeutic targets; uncontrolle...

Optimizing hepatitis C diagnosis through reinforcement learning feature selection and multi-model machine learning evaluation.

Hepatitis C virus (HCV) infection remains a leading cause of liver cirrhosis and hepatocellular carcinoma globally, affecting approximately 50 million...

An externally validated machine learning algorithm for predicting mental and physical health outcomes three months post-hospitalization for severe viral infection with SARS-CoV-2.

Many individuals hospitalized due to severe viral infections develop mental and physical sequelae, which could potentially be prevented by targeted in...

Research on biomarkers screening for urinary tract infection and the prediction model based on machine learning algorithms.

BACKGROUND: Urinary tract infections (UTIs) affect over 1.5 billion people annually, yet systematic screening of cytokine combinations as biomarkers r...

Machine Learning-Based Prediction of Central Line-Associated Bloodstream Infection in Children with Acute Leukemia.

Central line-associated bloodstream infection (CLABSI) is a frequent and severe complication in children undergoing treatment for acute leukemia, subs...

Antibiotic therapy in febrile neutropenia in haematological patients: current considerations and future challenges.

The management of febrile neutropenia (FN) in oncohematological patients is undergoing a paradigm shift driven by a deeper understanding of patients' ...

Multimodal data integration to determine viral and innate immune kinetics in human airway epithelium.

Understanding the mechanisms that govern viral spread in human airway epithelium (HAE) remains a major challenge, particularly with regard to identify...

Postangiography Prediction of Renal Replacement Therapy in Acute Myocardial Infarction-Related Cardiogenic Shock: Least Absolute Shrinkage and Selection Operator Nomogram Development and Validation.

BACKGROUND: Acute kidney injury critically impacts outcomes in cardiogenic shock secondary to acute myocardial infarction (CS-AMI). Acute kidney injur...

Artificial intelligence-assisted phenotyping of drug-resistant bacteria using a monosaccharide-based fluorescent sensor array.

Chemical tools capable of effectively phenotyping drug-resistant bacteria can help improve therapeutic efficacy toward bacterial infections. While con...

PneumoMLPred: Innovating Pneumonia Management with Guideline Adherence Review and Explainable Machine Learning-based Mortality Prediction - A single-centre retrospective study.

INTRODUCTION: Community-acquired pneumonia (CAP) is one of the leading causes of death globally. Changing antibiotic resistance profiles, paucity of r...

Rapid Cas13a-based penA genotyping for cefixime susceptibility in Neisseria gonorrhoeae.

UNLABELLED: Antimicrobial resistance in Neisseria gonorrhoeae is an urgent public health threat. Resistance-guided therapy can assure appropriate trea...

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation.

Antibiotic treatment failure, often driven by non-genetic mechanisms such as tolerance and persistence, remains a major global health challenge. β $\b...

Integrated assessment of developmental toxicity of antibiotic pollutants: Machine learning prediction, zebrafish validation, and network toxicology.

Developmental toxicity induced by environmental pollutants, particularly antibiotics, is often insidious and underestimated due to bioaccumulation and...

The multilevel exploration test, a novel paradigm to measure exploratory behavior in depression animal models and the involvement of the PL-ZI circuit.

Diminished drive is one of the core symptoms of major depressive disorder (MDD) diagnosis, yet its underlying neural mechanisms remain elusive, primar...

Reinforcing the Arsenal: Advanced Antibiotic Adjuvants as Strategic Disruptors of Bacterial Defenses.

The global crisis of bacterial antimicrobial resistance poses a severe threat to public health and agricultural development. Multidrug-resistant patho...

Conditional Diffusion Model-Based Method for Annotation of Antibiotic Resistance Gene Properties.

The crisis of bacterial antibiotic resistance, which has led to a decline in the effectiveness of antibiotics originally used to combat bacterial infe...