John Chaput and Rudy Diaz to lead two ASU projects that explore new frontiers in biomedical research
ASU can now shout the classic exclamation of discovery—Eureka!—twice. Fueled by a new initiative at the National Institutes of Health called the EUREKA program, two ASU teams have received million dollar grants to pursue the next frontiers in biomedical research.
Read More »
Center Director: Frederic Zenhausern
Developing ways to diagnose disease, monitor health, and create flexible electronics by merging new technology with genomics and molecular biology.
Center Director: Neal Woodbury
Using biological systems as models for producing energy and sensors, and advancing personalized medicine by creating molecules merged with modern optics and electronics.
Center Director: Joseph Wang
Developing specialized sensor technology to manage diabetes and other diseases, improve food safety and detect chemicals or other hazards in the environment.
Center Directors: Sidney Hecht and Guy Miller
Focused on human energy impairment diseases caused by defects in the cells’ mitochondria.
Center Director: Deirdre Meldrum
Developing tools, sensors and systems to detect and analyze differences between healthy and diseased cells as well as to identify genetic traits that enable certain microorganisms to adapt to harsh environments.
Center Director: Bruce Rittmann
Minimizing pollution and depletion of natural resources using microbiological systems and renewable energy resources.
Center Director: Sudhir Kumar
Understanding how the genes and genomes of humans and other organisms change over time to help pinpoint the origins of disease.
Center Director:
Roy Curtiss
Combating infectious diseases through innovative and effective vaccine development using plant, bacterial and viral delivery methods.
Center Director: Stephen A. Johnston
Exploring ways to detect illness before symptoms appear and developing systems for detecting, treating, and preventing cancer.
Center Director: Stuart Lindsay
Using nanotechnology to study the physical processes on which life is based so that diseases can be accurately diagnosed and better treatments can be developed.