Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 2920-2940 of 7,154 articles
SprayCraft: Graph-Based Route Optimization for Variable Rate Precision Spraying

To efficiently manage plant diseases, Agriculture Cyber-Physical Systems (A-CPS) have been develop...

Cross-feeding percolation phase transitions of inter-cellular metabolic networks

Intercellular exchange networks are essential for the adaptive capabilities of populations of cell...

The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations

Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen worldwide. Infecting roug...

Neuromodulation and homeostasis: complementary mechanisms for robust neural function

Neurons depend on two interdependent mechanisms-homeostasis and neuromodulation-to maintain robust...

(1)
Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database

Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This rea...

Applications of Machine Learning on Electronic Health Record Data to Combat Antibiotic Resistance.

There is growing excitement about the clinical use of artificial intelligence and machine learning (...

Nov 2024 38995050
m6A-related genes and their role in Parkinson's disease: Insights from machine learning and consensus clustering.

Parkinson disease (PD) is a chronic neurological disorder primarily characterized by a deficiency of...

Nov 2024 39533574
Can machine learning models improve the prediction of surgical site infection in abdominal surgery than traditional statistical models?

OBJECTIVE: To externally validate by revision and update the study on the efficacy of nosocomial inf...

Nov 2024 39552114
Machine learning-driven in-hospital mortality prediction in HIV/AIDS patients with infection: a single-centred retrospective study.

() is a widely disseminated betaherpesvirus that typically induces latant infections. In immunocom...

(1)
Nov 2024 39606806
Assessing Concordance between RNA-Seq and NanoString Technologies in Ebola-Infected Nonhuman Primates Using Machine Learning

This study evaluates the concordance between RNA sequencing (RNA-Seq) and NanoString technologies ...

Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease

Parkinson's disease (PD) belongs to the class of neurodegenerative disorders that affect the centr...

ZIF-90 treats fungal keratitis by promoting macrophage apoptosis and inhibiting inflammatory response

Fungal keratitis is a severe vision-threatening corneal infection with a prognosis influenced by f...

Contrastive learning of cell state dynamics in response to perturbations

We introduce DynaCLR, a self-supervised framework for modeling cell dynamics via contrastive learn...

A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning

Incomplete knowledge of metabolic processes hinders the accuracy of GEnome-scale Metabolic models ...

Discrimination vs. Generation: The Machine Learning Dichotomy for Dopaminergic Hit Discovery

Virtual screening plays a pivotal role in early drug discovery, traditionally dominated by physics...

3D Topological Modeling and Multi-Agent Movement Simulation for Viral Infection Risk Analysis

In this paper, a method to study how the design of indoor spaces and people's movement within them...

Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning

Lung cancer remains a leading cause of cancer-related deaths globally, with non-small cell lung ca...

An Overview of Explainable AI Studies in the Prediction of Sepsis Onset and Sepsis Mortality.

Explainable artificial intelligence (AI) focuses on developing models and algorithms that provide tr...

(1)
Aug 2024 39176915
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing

Sepsis is the leading cause of in-hospital mortality in the USA. Early sepsis onset prediction and...

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