The prevalence of the EMR in biomedical research is growing, the EMR being regarded as a source of contextually rich, longitudinal data for computation and statistical/trend analysis. However, models trained with data abstracted from the EMR often (1) do not capture all features needed to accurately predict the patient's future state and to…

Biomedical research has produced vast amounts of new information in the last decade but has been slow to find its use in clinical applications. Data from disparate sources such as genetic studies and summary data from published literature have been amassed, but there is a significant gap, primarily due to a lack of normative methods, in combining…

The need for additional nursing and health care professionals is expected to increase dramatically over the next 20 years. With this in mind, students must have strong biomedical science knowledge to be competent in their field. Some studies have shown that participation in bioscience laboratories can enhance science knowledge. If this is true, an…