Technology & Engineering

Research

The Latest

HIV Infection Prematurely Ages People by an Average of Five Years

Thanks to combination antiretroviral therapies, many people with HIV can expect to live decades after being infected. Yet doctors have observed these patients often show signs of premature aging. Researchers at University of California San Diego School of Medicine and the University of Nebraska Medical Center have applied a highly accurate biomarker to measure just how much HIV infection ages people at the cellular level — an average of almost five years.

UC San Diego Researchers Join Largest Autism Study Ever in United States

Autism experts at University of California San Diego Autism Center of Excellence (ACE) at the School of Medicine will be part of the largest autism study ever undertaken in the United States – an effort to collect information and DNA from 50,000 individuals, ages 3 to 100, with the neurodevelopmental disorder.

NSF Awards $232K to Study Environmental Impacts on Ancient Maya Port

Proyecto Costa Escondida (or Hidden Coast Project), co-led by researchers at CISA3, is an investigation of environmental and ecological factors that affected ancient Maya ports in a network of trade routes linking people, goods and ideas from across Mesoamerica.

American Academy of Arts and Sciences Elects Three UC San Diego Professors

Founded in 1780, the academy convenes leaders from the academic, business and government sectors to respond to challenges facing the nation and the world. Previous members have included George Washington, Benjamin Franklin, Daniel Webster, Ralph Waldo Emerson, Margaret Mead, and Martin Luther King Jr.

UC San Diego Researchers Demonstrate Automotive SafeShield with Qualcomm

The Laboratory for Intelligent and Safe Automobiles (LISA) at UC San Diego had a presence at the 2016 Consumer Electronics Show in Las Vegas as part of a Qualcomm automotive pavilion and demo. It was the lab's second CES-related demo in three years.

New Computer Program Can Help Uncover Hidden Genomic Alterations that Drive Cancers

Cancer is rarely the result of a single mutation in a single gene. Rather, tumors arise from the complex interplay between any number of mutually exclusive abnormal changes in the genome, the combinations of which can be unique to each individual patient. To better characterize the functional context of genomic variations in cancer, researchers at University of California San Diego School of Medicine and the Broad Institute developed a new computer algorithm they call REVEALER.