Critical Care

Sepsis

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

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Showing 1282-1302 of 9,021 articles
Correlation of Troponin Level (Troponin T, Troponin I) With PELOD-2 Score in Sepsis as a Predictive Factor of Mortality.

BACKGROUND: Sepsis in children with cardiovascular involvement can increase mortality. Recently, man...

Evaluation of Amikacin Pharmacokinetics in Critically Ill Patients with Intra-abdominal Sepsis.

Although the current widespread use of amikacin is in intra-abdominal sepsis treatment, its pharmac...

Kinetics Analysis and Susceptibility Coefficient of the Pathogenic Bacteria by Titanium Dioxide and Zinc Oxide Nanoparticles.

The increase of bacterial resistance to common antibacterial agents is one of the major problems of...

Machine-learning based patient classification using Hepatitis B virus full-length genome quasispecies from Asian and European cohorts.

Chronic infection with Hepatitis B virus (HBV) is a major risk factor for the development of advance...

The influence of on rumen morphometrics of cull cows immediately stepped up to a high-energy finishing diet.

Forty-five beef cull cows [body weight () = 503 ± 58 kg; body condition score () = 2.1 ± 0.6] were r...

Inverse association between infection and childhood asthma in Greece: a case-control study.

INTRODUCTION: infection is a well-established etiological factor for a variety of diseases such as ...

Usefulness of presepsin as diagnostic and prognostic marker of sepsis in daily clinical practice.

INTRODUCTION: Sepsis represents a major cause of morbidity and mortality in critically ill patients....

In vitro and in vivo analysis of the anti-plasmodial activity of ethanol extract of W. Bull leaf.

Antimalarial agents are necessary tools in the global malaria eradication agenda and plants used tra...

Exploiting open source 3D printer architecture for laboratory robotics to automate high-throughput time-lapse imaging for analytical microbiology.

Growth in open-source hardware designs combined with the low-cost of high performance optoelectronic...

Identification of Synthetic Activators of Cancer Cell Migration by Hybrid Deep Learning.

Deep convolutional neural networks (CNNs) are a method of choice for image recognition. Herein a hyb...

Antibacterial Activity of Lidah Mertua ( Prain.) Leaves Extract on and .

BACKGROUND: Infection is the most common diseases in developing country, including Indonesia. Bacter...

Investigating potato late blight physiological differences across potato cultivars with spectroscopy and machine learning.

Understanding plant disease resistance is important in the integrated management of Phytophthora inf...

The effect of climate change on cholera disease: The road ahead using artificial neural network.

Climate change has been described to raise outbreaks of water-born infectious diseases and increases...

Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease.

Parkinson's disease is the second most common neurodegenerative disease in the elderly after Alzheim...

Machine Learning Models for Analysis of Vital Signs Dynamics: A Case for Sepsis Onset Prediction.

OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in...

Molecular mechanisms of antibiotic co-resistance among carbapenem resistant Acinetobacter baumannii.

INTRODUCTION: The spread of carbapenem-resistant Acinetobacter baumannii (CRAB) is difficult to cont...

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