Tag: School of Medicine
UConn Magazine: Dispensing Stress Vitamins
Have you been wanting to try a meditation practice but just haven’t known where to start? Greg Sazima ’90 MD might just be the guru for you.
Q&A: Home Genetic Testing
The multimillion-dollar at-home genetic testing industry has boomed in recent years. While learning more about your genetic makeup may seem harmless, UConn Health genetic counselor Connor Linehan warns of the pitfalls.
Six UConn Researchers to Join the American Association for the Advancement of Science
Six UConn researchers have been elected by their peers to receive a distinguished honor.
Unique Schwann Cells: The Eyes Have It
UConn Health neuroscience researchers are finding genetic properties of what are known as Schwann cells in the cornea that may hold the key to breakthroughs in sensory function, healing, and even regeneration.
Worms Reveal Why Melatonin Promotes Sleep
UConn Health researchers say unlocking the secrets of how worms sleep can help us better understand the science behind our own sleep patterns.
Pancreatic Cancer Takes the Lives of Beloved U.S. Icons
Alex Trebek and U.S. Supreme Court Justice Ruth Bader Ginsberg brought awareness to the disease that is the 3rd leading cause of cancer-related deaths in the U.S. that has a 5-year survival rate of 10%.
Bridging the Gaps
The Covid-19 pandemic shined a bright light on inequitable access to health care in America. At UConn’s medical and dental schools, future providers are addressing disparities from the ground up.
UConn Researcher Identifies Genetic Elements Involved in Heart Development
A UConn Health scientist's research into genetic factors in heart development offers insight into congenital heart defects.
Double Down: Election Anxiety on Top of Pandemic Stress
UConn Health psychologist Karen Steinberg talks about the double dose of stress confronting many Americans during this time, and what they can do about it.
UConn Health Model: Travel Ban Would Have Killed CT COVID in August
UConn Health's Pedro Mendes talks about what a sophisticated computer model of Connecticut's COVID-19 infections tells us about where we've been, and where we might be headed.