We Are Advancing Health

USC is shattering conventions in health care research, treatment and delivery, creating more equitable systems, modeling world-class care for urban populations and finding cures for intractable diseases — all while training tomorrow’s health leaders.

USC is shattering conventions in health care research, treatment and its delivery, as well as training tomorrow's researchers and practitioners. The goal: to create a more equitable system, create models for the best care and delivery in urban populations globally, and achieve breakthoughs in cures for intractable diseases.

Facilitating global networks for discovery

USC’s collaborative culture fuels knowledge sharing far beyond the university, with the goal of helping researchers worldwide build on one another’s work. The Global Alzheimer’s Association Interactive Network (GAAIN), created by USC’s Laboratory of Neuro Imaging (LONI) and funded by the Alzheimer’s Association, has developed the first integrated research platform that links scientists, shared data and sophisticated analysis tools in an effort to address Alzheimer’s through massive shared data sets.

Revolutionizing health care through technology and innovation

Discover how USC is transforming the fields of health research and services to improve quality of life around the world. Our pioneering work leads the way in patient care, medical research and health care education.

Solving real-world problems with virtual reality

USC’s Institute for Creative Technologies is one real-world example of our commitment to using our multidisciplinary research to develop advanced prototypes and pilot projects that solve real-world problems. For United States Military Academy West Point cadet, Jareth Long-Garrett that means Bravemind, a program that uses virtual reality technology to help treat post-traumatic stress.

United States Military Academy West Point cadet, Jareth Long-Garrett is helped into a virtual reality headset by ICT technical project specialist Andrew Leeds. As he tries the post-traumatic stress therapy program Bravemind, Wednesday, July 20, 2016. (USC Photo/Gus Ruelas)

A guide for cancer care

Peter Kuhn, director of the Convergent Science Institute in Cancer, has set out to create a roadmap on how to treat cancer. Kuhn’s research team in physics oncology has discovered new ways of how cancer spreads to the human body and they are now using that data to better understand how to create a game plan for patient care.

Peter Kuhn, Ph.D. (left), is a scientist and entrepreneur with a career long commitment in personalized medicine and individualized patient care. He is focused on the redesign of cancer care. Kuhn’s research team in physics oncology has discovered new ways of how cancer spreads to the human body and is using those breakthroughs to impact patient care.

Nanotechnologies can solve medical needs

The Biomedical Microsystems Laboratory was established by Dr. Ellis Meng and focuses on developing novel micro- and nanotechnologies for biomedical applications. Her tireless work has led to significant advancements in addressing medical needs of the community and the world.

Ellis Meng is Professor of Biomedical and Electrical and Computer Engineering in the Viterbi School of Engineering at the University of Southern California where she has been since 2004. The Biomedical Microsystems Laboratory at USC focuses on developing novel micro- and nanotechnologies for biomedical applications. In particular, we are interested in the integration of multiple modalities (e.g. electrical, mechanical, and chemical) in miniaturized devices measuring no more than a few millimeters for use in fundamental scientific research, biomedical diagnostics, and therapy. (Photo/Chris Shinn)

Artificial intelligence and rehabilitation

Francisco Valero-Cuevas holds a robotic hand he and his lab, Valero Lab, helped developed. The Valero Lab works to understand how human mobility works using robotics and artificial intelligence. This research translates into real technology, like the robotic hand, that improves people’s everyday lives.

Francisco Valero-Cuevas holding a robotic hand. The Valery laboratory is dedicated to understanding the biomechanics, neuromuscular control, and clinical rehabilitation of human mobility, with an emphasis on translation to robotics and Artificial Intelligence. Towards this end, we employ a synergy of experimental and theoretical techniques. Our diverse experimental arsenal ranges from physiological recordings, computational models, machine learning, and neuromorphic computing. These procedures in turn inform theoretical work and devices to restore sensorimotor function for rehabilitation, and create neuro-inspired robots, circuits, and algorithms. (Photo/Chris Shinn)

Connecting medicine and engineering

To develop safe and effective cures for human diseases, we need reliable models of human tissues to establish the underlying biology. Bridging medical research and engineering, The Laboratory for Living Systems Engineering works to engineer micro-scale mimics of native healthy and diseased human tissues that provide meaningful physiological outputs and are scalable for other applications.

Laboratory for Living Systems Engineering is led by Megan L. McCain and is an interdisciplinary research group within the Department of Biomedical Engineering in the Viterbi School of Engineering at the University of Southern California. They are also affiliated with the Department of Stem Cell Biology and Regenerative Medicine at ​Keck School of Medicine. (Photo/Chris Shinn)

Early Detection in Alzheimer’s

The key to treating and managing many brain diseases is to catch them early, before symptoms even appear. For researchers like Paul Thompson at the USC Mark and Mary Stevens Neuroimaging and Informatics Institute, they believed they could discover hidden factors of diseases using machine learning technology. Calling in the help of USC computer science research assistant professor Greg Ver Steeg, researchers studied how using machine learning to identify potential blood-based markers of Alzheimer’s disease.

Neuroscientist Paul Thompson, left, with computer science Greg Ver Steeg. Thompson hopes to use Ver Steeg's machine learning method to find hidden factors in other brain diseases, in addition to Alzheimer's. (Photo/Caitlin Dawson)