SJSM Students can use the clinical reference tool, DynaMed™ from EBSCO. You can now access the valuable, evidence-based content anywhere with the new DynaMed mobile app. The new app has been redesigned to make it easier and faster for physicians to find answers to clinical questions.
See directions for installation, here:
APP from the Department of Emergency Medicine at the University of Maryland
The UMEM Pearls App brings informative and useful emergency medicine educational pearls to your mobile device. Since 2007, the Department of Emergency Medicine at the University of Maryland has developed pearls of knowledge in the field of emergency medicine and made them available to the broader medical community.
A study involving 74,000 women and 43,000 men
shows that eating a diet rich in whole grains was
found to be associated with lower total mortality and
deaths from cardiovascular disease (CVD), but not cancer. Read more here:
In 2012 alone, there were more than 3,600 publications in PubMed on vitamin D: opinion articles, small studies, large studies, evidence reviews, and meta-analyses. What are the conclusions? Read more here:
Graphic Medicine is a site that explores the interaction between the medium of comics and the discourse of healthcare. You’ll find a growing collection of comic reviews, articles, podcasts, links, and coverage of international Comics and Medicine Conferences.
Journal of Medical Insight (JoMI) is a medical video journal for attending surgeons, fellows, residents, medical students, and patients that seeks to positively impact healthcare by publishing the highest quality videos of surgical procedures performed by top teaching physicians.
A new study in 12 men, with and without brown fat, has shown that when activated by mild exposure to cold, brown fat increases blood glucose disposal and insulin sensitivity. Perhaps turning the thermostat down at night may expand brown fat tissue mass and activity, which could lead to a metabolic boost. Read more here.
A group of British scientists have identified 10 blood proteins that can predict with 87 percent accuracy whether someone with early signs of memory loss will develop Alzheimer’s disease within a year. Read more here: