Latest AI and machine learning research in critical care for healthcare professionals.
The efficacy of inhaled antibiotics is often impaired by insufficient drug penetration into plugged ...
BACKGROUND: Diet is one of the pillars of the treatment for patients with chronic kidney disease wit...
Limited therapeutic options exist for inoperable bilateral kidney tumors. We report the first ever u...
Current chemotherapeutic dosing strategies are limited by the toxicity of anticancer agents and ther...
Protein structure and protein function should be related, yet the nature of this relationship remain...
Alzheimer's disease (AD) has been not only a substantial financial burden to the health care system ...
Identifying robust survival subgroups of hepatocellular carcinoma (HCC) will significantly improve p...
Spiking Neural Networks (SNN) for Versatile Applications (SNAVA) simulation platform is a scalable a...
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few...
Electrocardiogram (ECG) data analysis is of great significance to the diagnosis of cardiovascular di...
The effects of Mentha arvensis L. (MAEO; 0.625 μL/mL) and M. piperita L. (MPEO; 1.25 μL/mL) essentia...
BACKGROUND: There is growing concern of health effects of exposure to pollutant mixtures. We initial...
OBJECTIVES: Unplanned readmissions to the intensive care unit (ICU) are highly undesirable, increasi...
BACKGROUND: In Italy, few studies have examined the clinical management of peritoneal dialysis (PD) ...
This paper presents a sharable and individual multi-view metric learning (MvML) approach for visual ...
Sepsis is a leading cause of death and is the most expensive condition to treat in U.S. hospitals. D...
MGMT promoter methylation and IDH1 mutation in high-grade gliomas (HGG) have proven to be the two im...
Children undergoing general anesthesia require airway monitoring by an anesthesia provider. The airw...
BACKGROUND: Sepsis is one of the leading causes of death in intensive care unit patients. Early dete...
BACKGROUND: Named Entity Recognition (NER) is a key task in biomedical text mining. Accurate NER sys...
This paper presents an open, multi-vendor, multi-field strength magnetic resonance (MR) T1-weighted ...