Critical Care

Sepsis

Latest AI and machine learning research in sepsis for healthcare professionals.

7,154 articles
Stay Ahead - Weekly Sepsis research updates
Subscribe
Browse Categories
Critical-Care Subcategories: Sepsis
Showing 2500-2520 of 7,154 articles
Reduced dopaminergic reinforcement, not learning capacity, limits operant learning in aging Drosophila

Aging is associated with a progressive decline in cognitive function, including the ability to adapt...

Vancomycert: A Certified Neuro-Symbolic Drug Delivery System (Case Study)

Neural network controllers for autonomous decision-making are well-established in cyber-physical sys...

Predicting Mouse Lifespan-Extending Chemical Compounds with Machine Learning

Pharmacological interventions targeting the biological processes of ageing hold significant potentia...

AURA: Active-Response Attribution under Treatment Ambiguity in Bacterial Cytological Profiling

When a bacterial sample is exposed to several antibiotics, not every applied drug necessarily acts: ...

Virus-human protein-protein interactions predict viral phenotypes

Viral phenotypes such as host and tissue tropism are critical determinants of viral infection and tr...

Small molecule biomarkers predictive of Chagas disease progression

Chagas disease (CD), caused by the protozoan parasite Trypanosoma cruzi, affects an estimated 10.5 m...

A Deep Hypergraph Learning Model for Predicting Antimicrobial Combination Effects Across Bacterial Targets

Antimicrobial resistance (AMR) creates an urgent need for efficient strategies to identify effective...

Pairing Data Independent Acquisition and High-Resolution Full Scan for Fast Urinary Tract Infection Diagnosis

Background: Rapid and accurate identification of urinary tract infection (UTI) pathogens is critical...

BacteReason: A Reasoning Model for Antimicrobial Resistance Prediction

The rapid global spread of antimicrobial resistance (AMR) has placed unprecedented pressure on clini...

Calibrated and Interpretable Machine Learning for ICU Mortality Prediction Using First 24-Hour Clinical Data

Objective: To develop, calibrate, and interpret machine learning models for predicting in-hospital m...

Conformal Prediction and Ensemble Learning for Uncertainty-Aware ICU Mortality Stratification

Background. Conventional ICU severity scores - SOFA, qSOFA, and APACHE-II - use additive integer wei...

Real-world impact of a sepsis early detection model integrated into clinical workflow: a quasi-experimental study

Background: Sepsis is a life-threatening condition in which delayed recognition and treatment are as...

High-dimensional Characterization of Genome-Environment Fitness Landscapes in Klebsiella pneumoniae

Background Bacterial fitness is shaped by interactions between genome variation and environmental co...

Using Disinhibition versus Direct Control in a Spiking Neural Model of Dopamine-Driven Reinforcement Learning

Dopaminergic signalling is central to value learning and decision making. It has been observed that ...

A digital twin for hospital antimicrobial resistance forecasting and constrained intervention optimisation

Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patie...

SepsisAI Orchestrator: A Containerized and Scalable Platform for Deploying AI Models and Real-Time Monitoring in Early Sepsis Detection

Despite strong predictive results in the clinical machine learning literature, the translation of th...

Benchmarking Machine Learning Architectures for Antimicrobial Stewardship in Pediatric ICUs

Antimicrobial stewardship (AMS) is critical in pediatric intensive care units (PICUs), where diagnos...

Browse Categories