Author Archive
Cell Modeling Tool Makes Complex Calculations User-Friendly
The Virtual Cell, or VCell as it’s known at UConn Health, is a software platform that offers the most comprehensive set of modeling and simulation capabilities for cell biology in the world.
UConn Health’s New 3-D Printed Model Allows Brain Surgeons to Practice
A team of researchers at UConn Health converted MRI brain scans into something a 3-D printer could interpret, enabling them to print an inexpensive, true-to-life teaching model of the brain’s major arteries.
Why (We Think) Atheists are More Likely to be Serial Killers
There is a global moral prejudice against people who do not believe in a god or gods, according to a new study by UConn anthropologist Dmitris Xygalatas and colleagues.
Thermal Funkiness: Explaining the Unexpected
After just one semester of college physics, undergraduate Connor Occhialini performed theoretical calculations that explain why scandium fluoride shrinks when it gets warm. His work has now been published in an elite physics journal.
Don’t Trust Me? Let’s Dance
New research quantifying the effects of synchronized movement is designed to better understand how it can drive social behavior and attitudes.
The Stars Align, and Astronomers Sharpen Hubble’s Gaze
By applying computational analysis to images from a gravitational lens, astronomers have been able to see clear pictures of the distant universe.
Genes Predict Cancer Patient’s Pain – or Lack of It
UConn researchers report genetic clues that point to those individuals likely to be most vulnerable to post-treatment pain.
Color Me Blue: Mapping Teen Suicides to Help Prevent Them
UConn researchers collected data on suicide attempt rates in towns across Connecticut in hopes of promoting prevention strategies.
The Veins in Your Brain Don’t All Act the Same
UConn researchers, including undergraduate students, have discovered that the blood vessels in one part of the brain act differently than elsewhere in the body, in order to keep us breathing.
Melanoma’s Signature
On Melanoma Monday, UConn Health dermatologist Sam Dadras discusses his research, which found a molecular signal that could distinguish which skin cancers need more aggressive treatment.