Elsevier,
Journal of Biomedical Informatics, Volume 139, March 2023
In the context of applying machine learning to solve problems for risk prediction, disease detection, and treatment evaluation, EHR pose many challenges– they do not have a consistent, standardized format across institutions particularly in US, can contain human errors and introduce collection biases. In addition, some institutions or geographic regions do not have access to the technology or financial resources necessary to implement EHR, thus resulting in vulnerable and disadvantaged communities not being electronically visible.
Elsevier,
International Journal of Medical Informatics, Volume 171, March 2023
Digital health programs are urgently needed to accelerate the adoption of Artificial Intelligence and Clinical Decision Support Systems (AI-CDSS) in clinical settings. However, such programs are still lacking for undergraduate medical students, and new approaches are required to prepare them for the arrival of new and unknown technologies.
Elsevier,
Neoplasia (United States), Volume 37, March 2023
There are undeniable historic and contemporary hardships faced by Indigenous Peoples regarding access to medical treatments, research opportunities, clinical trial participation, and careers. The goal of the PNOC/CBTN DEI working group is to bring such inequities to our pediatric neuro-oncology community and beyond and start to develop and collaborate towards solutions.
Elsevier,
Theriogenology Wild, Volume 2, 2023, 100027
The breeding of captive wild species can play a crucial role in their preservation. One major barrier to successful captive breeding is the difficulty of replicating the natural environment. In this study the authors provide suggestions and recommendations to facilitate future breeding efforts for captive jaguars.
Elsevier,
The Lancet Digital Health, Volume 5, March 2023
This Article supports SDGs 3 and 10 by evaluating home telemonitoring of women with complicated pregnancies, finding that it might be a safe alternative to hospital admission. If implemented, it is possible that this alternative could reduce costs and increase patient access to care and monitoring
