Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 1219-1239 of 7,148 articles
Clinical subtypes identification and feature recognition of sepsis leukocyte trajectories based on machine learning.

Sepsis is a highly variable condition, and tracking leukocyte patterns may offer insights for tailor...

Apr 2025 40210965
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 fo...

(2)
Apr 2025 40211167
Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy.

BACKGROUND: The flexible ureteroscopy lithotripsy (F-URL) is an important treatment for upper urinar...

Apr 2025 40211277
Voice biomarkers as prognostic indicators for Parkinson's disease using machine learning techniques.

Many people suffer from Parkinson's disease globally, a complicated neurological condition caused by...

Apr 2025 40204799
Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated delirium.

This study aimed to develop models for predicting the 30-day mortality of sepsis-associated delirium...

(2)
Apr 2025 40202964
Febrile neutropenia management in high-risk neutropenic patients: a narrative review on antibiotic prophylaxis and empirical treatment.

INTRODUCTION: Although febrile neutropenia (FN) remains a major cause of morbidity and mortality in ...

(2)
Apr 2025 40163819
Direct-acting antivirals (DAA) positively affect depression and cognitive function in patients with chronic hepatitis C.

The aim of the study was to determine how depression and cognitive dysfunction in patients with chro...

Apr 2025 40184345
A framework predicting removal efficacy of antibiotic resistance genes during disinfection processes with machine learning.

Disinfection has been applied widely for the removal of antibiotic resistance genes (ARGs) to curb t...

Apr 2025 40179779
Characterization of Enterocytozoon hepatopenaei infection stages in shrimp using machine learning and gene network analysis.

Enterocytozoon hepatopenaei (EHP), causing hepatopancreatic microsporidiosis (HPM), significantly im...

Apr 2025 40187485
Evolutionary learning in neural networks by heterosynaptic plasticity.

Training biophysical neuron models provides insights into brain circuits' organization and problem-s...

Apr 2025 40292319
Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial.

The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-t...

Apr 2025 40175738
Niuhuang jiedu prescription alleviates realgar-induced dopaminergic and GABAergic neurotoxicity in Caenorhabditis elegans.

ETHNOPHARMACOLOGICAL RELEVANCE: Niuhuang Jiedu (NHJD) is a Chinese medicine prescription containing ...

(1)
Apr 2025 40185261
Harness machine learning for multiple prognoses prediction in sepsis patients: evidence from the MIMIC-IV database.

BACKGROUND: Sepsis, a severe systemic response to infection, frequently results in adverse outcomes,...

Mar 2025 40165185
Constructing an early warning model for elderly sepsis patients based on machine learning.

Sepsis is a serious threat to human life. Early prediction of high-risk populations for sepsis is ne...

(1)
Mar 2025 40148464
Large Language Model-Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study.

BACKGROUND: Sepsis is a complex, life-threatening condition characterized by significant heterogenei...

Mar 2025 40146985
Nanopsychiatry: Advancing psychiatric diagnosis and monitoring through nanotechnology-based detection.

Nanopsychiatry, operating at the nanoscale, leverages engineered nanomaterials and nanodevices to re...

(2)
Mar 2025 40154722
Machine learning-based prognostic model for bloodstream infections in hematological malignancies using Th1/Th2 cytokines.

OBJECTIVE: Bloodstream infection (BSI) is a significant cause of mortality in patients with hematolo...

(2)
Mar 2025 40140749
Weighted-VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection.

Chagas disease (CD), caused by the protozoan parasite Trypanosoma cruzi (T. cruzi), represents a maj...

(1)
Mar 2025 40127396
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