Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 1534-1554 of 9,043 articles
Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning.

OBJECTIVE: To demonstrate the incremental benefit of using free text data in addition to vital sign ...

Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections.

The immune system has evolved to sense invading pathogens, control infection, and restore tissue int...

Antidepressant-like effects of Gan-Mai-Dazao-Tang via monoamine regulatory pathways on forced swimming test in rats.

Depression is a highly prevalent and recurrent mental disorder that impacts all aspects of human lif...

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures.

Electronic health records (EHR) provide opportunities to leverage vast arrays of data to help preven...

Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications.

Manual Chart Review (MCR) is an important but labor-intensive task for clinical research and quality...

Learning by stimulation avoidance: A principle to control spiking neural networks dynamics.

Learning based on networks of real neurons, and learning based on biologically inspired models of ne...

Diagnostic value of sTREM-1 and procalcitonin levels in the early diagnosis of sepsis.

OBJECTIVE: Sepsis is still major cause of morbidity and mortality, despite improvements in diagnosis...

Natural language processing to ascertain two key variables from operative reports in ophthalmology.

PURPOSE: Antibiotic prophylaxis is critical to ophthalmology and other surgical specialties. We perf...

A Novel Microspheres Formulation of Puerarin: Pharmacokinetics Study and In Vivo Pharmacodynamics Evaluations.

The aim of this study was to investigate the pharmacokinetics and pharmacodynamics of puerarin loade...

Chemical colitis caused by hydrogen peroxide enema in a child: case report and literature review.

A 2-year-old girl, previously healthy, was brought to the emergency department because of significan...

Neuroprotective effect of Spilanthes acmella Murr. on pesticide-induced neuronal cells death.

OBJECTIVE: To investigate protective effects of Spilanthes acmella (S. acmella) Murr. extracts again...

Cortico-Striatal-Thalamic Loop Circuits of the Salience Network: A Central Pathway in Psychiatric Disease and Treatment.

The salience network (SN) plays a central role in cognitive control by integrating sensory input to ...

Genome-Wide Transcriptional and Post-transcriptional Regulation of Innate Immune and Defense Responses of Bovine Mammary Gland to .

() is problematic for lactating mammals and public health. Understanding of mechanisms by which the...

A Time to Pause and Reflect: When a Patient with Autoimmune Hepatitis Stops Responding to Corticosteroids.

Drug-induced liver injury (DILI) with features of autoimmunity (AI) is a challenging diagnosis to ma...

Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns.

BACKGROUND AND OBJECTIVE: Critical care patient events like sepsis or septic shock in intensive care...

CD4 T Helper Cells Instruct Lymphopenia-Induced Memory-Like CD8 T Cells for Control of Acute LCMV Infection.

Lymphopenic conditions lead to expansion of memory-like T cells (T), which develop from naïve T cell...

Development of a Zika Virus Infection Model in Cynomolgus Macaques.

Limited availability of Indian rhesus macaques (IRM) is a bottleneck to study Zika virus (ZIKV) path...

Susceptibility Profiles of Isolates to Streptomycin and Rifampicin in Two Districts of the Eastern Region of Ghana.

. Drug resistance is a major challenge in antibiotic chemotherapy. Assessing resistance profiles of ...

Efficacy of tildipirosin metaphylaxis for the prevention of respiratory disease, otitis and mortality in pre-weaned Holstein calves.

The aim of this study was to evaluate the efficacy of two metaphylactic approaches (long acting anti...

A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series.

Physiological variables, such as heart rate (HR), blood pressure (BP) and respiration (RESP), are ti...

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