Latest AI and machine learning research in sepsis for healthcare professionals.
The use of machine-learning and predictive modeling in infection prevention and control activities i...
AI is the latest technologic trend that likely will have a huge impact in medicine. AI's potential l...
This study presents the combination of Raman spectroscopy with machine learning algorithms as a pros...
BACKGROUND: Acute kidney injury (AKI) is frequent during hospitalization and may contribute to adver...
Under the current climate, physicians prescribe antibiotics for treating bacterial infections, and s...
Systemic corticosteroids are considered to be the standard treatment for allergic bronchopulmonary a...
Infection with the SARS-CoV-2 virus has rapidly become a global pandemic for which we were not prepa...
BACKGROUND: We applied various machine learning algorithms to a large national dataset to model the ...
The coronavirus disease 2019 (COVID-19) pandemic spread by the single-stranded RNA severe acute resp...
BACKGROUND: Helicobacter pylori plays a central role in the development of gastric cancer, and predi...
BACKGROUND: To introduce the Hemorrhage Intensive Severity and Survivability (HISS) score, based on ...
BACKGROUND: Sepsis mortality is still unacceptably high and an appropriate prognostic tool may incre...
Drug discovery projects entail cycles of design, synthesis, and testing that yield a series of chemi...
Early diagnosis is critical for the prevention and control of the coronavirus disease 2019 (COVID-19...
BACKGROUND: Differential expression (DE) analysis of transcriptomic data enables genome-wide analysi...
OBJECTIVE: Inform coronavirus disease 2019 (COVID-19) infection prevention measures by identifying a...
The basal ganglia (BG) represent a critical center of the nervous system for sensorial discriminatio...
A 23-year-old man was admitted for acute pericarditis that evolved to cardiac tamponade and shock wi...
In this article we present the development of a biosensor system that integrates nanotechnology, opt...
Finding new biomarkers to model Parkinson's Disease (PD) is a challenge not only to help discerning ...
BACKGROUND: Semisupervised and unsupervised anomaly detection methods have been widely used in vario...