Latest AI and machine learning research in emergency medicine for healthcare professionals.
Ensemble learning methods are one of the most powerful tools for the pattern classification problems...
PURPOSE: The Scandinavian Starch for Severe Sepsis/Septic Shock (6S) trial showed increased mortalit...
BACKGROUND: A new anesthesia system, the E-CAIOVX (GE Healthcare) enables the continuous monitoring ...
BACKGROUND: Most patients undergoing outpatient surgeries have the unpleasant experience of high lev...
The treatment of protozoan parasitic diseases is challenging, and thus identification and analysis o...
Sepsis is one of the leading causes of death in the United States. Early administration of treatment...
Patients have diverse health information needs, and secure messaging through patient portals is an e...
Due to the extensive social influence, public health emergency has attracted great attention in toda...
The relationship between preferred codon use (PCU), developmental mode, and gene ontology (GO) was i...
BACKGROUND: Nutritional screening procedures followed by regular nutrition monitoring for oncologica...
BACKGROUND: We report our experience dosing and monitoring enoxaparin with anti-factor Xa activity (...
Biomolecular simulations aim to simulate structure, dynamics, interactions, and energetics of comple...
Ebola virus disease (EVD) distinguishes its feature as high infectivity and mortality. Thus, it is u...
Influenza is a yearly recurrent disease that has the potential to become a pandemic. An effective bi...
NADPH-cytochrome P450 reductase (CPR) plays an important role in cytochrome P450 function, and CPR k...
Bisphosphonates (BPs) are the most widely used drugs to treat osteoporosis. However, recent reports ...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and publ...
BMCL26 is a potential drug derived from nimesulide, which has exhibited the substantial anti-parasit...
What adolescents say when they think about or attempt suicide influences the medical care they recei...
BACKGROUND: To date, there are no reviews on machine learning (ML) in burn care. Considering the gro...
Heat Shock Proteins (HSPs) are the substantial ingredients for cell growth and viability, which are ...