Material scientists have discovered what makes the scales of the massive Amazonian freshwater fish, Arapaima gigas, resistant to breaking when a piranha bites. The answer could serve as inspiration for stronger, lightweight and flexible synthetic armors.
UC San Diego bioengineers are a step closer to making CAR T-cell therapy safer, more precise and easy to control. They developed a system that allows them to select where and when CAR T cells get turned on so that they destroy cancer cells without harming normal cells.
In Fall 2019, the Center for the Future of Surgery at UC San Diego School of Medicine expanded to address the newest surgical trends, especially those benefiting the brain and the nervous system.
Researchers at the San Diego Supercomputer Center at UC San Diego have launched an open-source software called SeedMeLab, which provides a host of features for researchers across all disciplines to manage and disseminate their data.
UC San Diego Health has enrolled its first patient to evaluate a hand-held technology to fragment kidney stones. The clinical trial will assess the safety and effectiveness of breaking up kidney stones using acoustic energy.
UC San Diego engineers have developed a way to build soft robots that are compact, portable and multifunctional. The advance was made possible by creating soft, tubular actuators whose movements are electrically controlled, which makes them easy to integrate with small electronic components.
The Center for Medicinal Cannabis Research at University of California San Diego School of Medicine announces $3 million in research grants to explore new applications of cannabis for a number of novel medical applications.
When you hold constant national origin, religion is the most powerful source of discrimination against refugees to the United States – mattering more than gender, age, fluency in English or professional skill. Also: anti-Muslim bias prevails across the board in the U.S. but differs across subgroups.
Study finds when verbal memory test cut-offs were tailored to patient sex, more female patients and fewer male patients were considered to have amnesic mild cognitive impairment. This could change the way aMCI diagnoses are determined and make it easier to catch the condition in its early stages.
MIT’s Computer Science & Artificial Intelligence Laboratory (CSAIL) and the Center for Applied Internet Data Analysis (CAIDA) at SDSC have developed a new machine learning system to identify "serial hijackers" of internet IP addresses.