Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 2416-2436 of 7,154 articles
Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes.

Currently, mammalian cells are the most utilized hosts for biopharmaceutical production. The culture...

Jan 2015 25552348
Prediction of β-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine.

β-Lactam class of antibiotics is used as major therapeutic agent against a number of pathogenic micr...

Oct 2014 25454009
Procalcitonin Strip Test as an Independent Predictor in Acute Pancreatitis.

Plasma procalcitonin (PCT) is a highly specific marker for the diagnosis of bacterial infection and ...

(2)
Jun 2014 27011501
[Infection prevention check-in and infection prevention check-out to prevent nosocomial infections].

BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of t...

Nov 2009 19911345
Dopaminergic reward signals shape foraging decisions through learned value expectations

A fundamental function of the nervous system is to direct animals towards life-sustaining resources ...

(1)
Canonical Klebsiella pneumoniae virulence factors and strain lineage are not primary drivers of patient mortality

Background: Klebsiella pneumoniae is a global pathogen with significant rates of antimicrobial resis...

ConforFlux: Particle-Guided Trunk Repulsion for Diverse Protein Conformations

Deep learning models for protein structure prediction achieve near-experimental accuracy on individu...

(9)
ClinSDT: LLM-Encoded Clinical Semantic Guidance for Sepsis Treatment via Decision Transformer

Offline sepsis treatment aims to learn treatment policies from retrospective ICU trajectories. Decis...

Microbial traits have minimal power for predicting death from bloodstream infection

Bloodstream infection (BSI) is a life-threatening condition where the risk of dying is affected by b...

(1)
Label-free identification of bacterial species using adapted vision transformers

Antibiotic resistance is an increasingly serious problem worldwide. Identifying the bacterial specie...

(5)
A High-Content Pseudotime Framework for Morphological Profiling of Dengue Virus Inhibitors from a Drug-Repurposing Library

Dengue virus (DENV) causes dengue fever, a globally prevalent, epidemic-prone disease with no FDA-ap...

(1)
Assessment of Fairness and Bias of an Image-based Surgical Site Infection Detection AI Model

BackgroundEvaluating fairness in artificial intelligence (AI) is essential before clinical implement...

(2)
SepsisLens: Structure-Preserving Sequence Modelling for Decomposable Early Sepsis Warning

Early sepsis warning from ICU records can be cast as a structure-preserving prediction problem. A mo...

Striatal representations and network correlates of digital motor scores in Parkinsons disease

Digital health technology (DHT) enables to detect and quantify charateristics motor dysfunction in P...

Cellular and Network Effects of Introducing Connexin-36 Expression in an Uncoupled Neuronal Population in the Mouse Hypothalamus

Electrical synapses are prevalent throughout nervous systems, including the mammalian brain. Several...

Genome-Wide Association Study of Sepsis Susceptibility in ICU Patients Identifies Arab Founder Loss-of-Function Variant in UBE2L3

Sepsis causes approximately 11 million deaths globally each year. Whole-genome sequencing (WGS) of f...

MTLiquid: Enabling Efficient Multi-Task Learning using Liquid Neural Networks for Lightweight Healthcare Monitoring Systems

Continuous-time sensing and monitoring with timely and accurate decision-making are critical for man...

Robust Inference of Phage Host Infection Dynamics from Sparse Single-Cell Transcriptomic Profiles in Pseudomonas aeruginosa

Phage therapy is providing a benefit to a limited number of people. To date those who have received ...

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