Immunosuppressive therapy is vital for the success of a kidney transplant, yet it entails potential risks and side effects. The challenge lies in finding the right balance between suppressing the immune response enough to prevent rejection while minimizing the risk of infections, organ toxicity, and other complications associated with long-term…

Many Graduate Medical Education Residents (GMERs) across American academic medical centers lack the necessary skills to research and publish their findings. This situation is critical as GMERs are future healthcare physicians who treat humans and strive to overcome disease, injury, and pain. Published biomedical research benefits physicians,…

One of the objectives for nurse educators is to teach research and evidence-based practice concepts to undergraduate nursing students, yet a gap was noted in the literature regarding faculty experiences. The purpose of this basic qualitative study was to explore the experiences of nurse educators teaching research and evidence-based practice…

Today, artificial intelligence technologies (AI) add significant complexities to organizational learning, performance, and change, and these technologies are proliferating across all industries at rapidly increasing rates (West, 2018). However, most organizations do not understand how to make sense of AI (Brynjolfsson & McAfee, 2017), and the…

With the expeditious advancement of information technologies, health-related data presented unprecedented potentials for medical and health discoveries but at the same time significant challenges for machine learning techniques both in terms of size and complexity. Those challenges include: the structured data with various storage formats and…

Health Information Technologies (HIT) are becoming increasingly integrated into patient care and nursing practice. The literature notes that the incorporation of these technologies is not only having an impact on the skills required of bedside nurses, but on nurse leaders from the unit-level to executive positions. Past research has resulted in…

Translational research (TR) is the process of bringing innovations from basic science into applied science, usually referring to the practice of medicine. It has been assumed that cross-disciplinary collaboration, or interdisciplinarity research (IDR), is essential to translation. Yet there is a gap in the literature regarding the interaction…

Information retrieval techniques have been applied to biomedical research for a variety of purposes, such as textual document retrieval and molecular data retrieval. As biomedical research evolves over time, information retrieval is also constantly facing new challenges, including the growing number of available data, the emerging new data types,…

This study explores the factors that contribute to evangelical pastors becoming bioethically confident leaders of their congregation. This basic qualitative study invited twenty-five pastors who have a M.Div. or similar seminary degree to share their experiences of theological education, congregational ministry, and their views of pastoral moral…

One of the challenges humans face is making collective decisions with regards to controversial issues related to science, namely socio-scientific issues (SSIs). Genetic modification, nuclear energy, experimental drugs, 5G technology are a few examples of SSIs. Some of the concerns posed by such issues are compromise to privacy and identity, threat…

In clinical research, New Drug Application (NDA) to health agencies requires generation of a large number of documents throughout the clinical development life cycle, many of which are also submitted to public databases and external partners. Current processes to assemble the information, author, review and approve the clinical research documents,…

Clinical research plays a vital role in producing knowledge valuable for understanding human disease and improving healthcare quality. Human subject protection is an obligation essential to the clinical research endeavor, much of which is governed by federal regulations and rules. Institutional Review Boards (IRBs) are responsible for overseeing…

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…

Ontologies are commonly used to support application tasks such as natural language processing, knowledge management, learning, browsing, and search. Literature recommends considering specific context during ontology design, and highlights that a different context is responsible for problems in ontology reuse. However, there is still no clear…

Researchers in the medical domain consider the double-blind placebo controlled clinical trial the gold standard. The data for these clinical trials are collected for a specifically defined hypothesis and there is very little in the realm of secondary data analyses conducted. The underlying purpose of this work is to demonstrate the value and…