Tech Blog

Through their collaboration at the University of Arizona, Bonnie Hurwitz, Ph.D. and George Watts, Ph.D. are using "whole genome shotgun sequencing" for more accurately and efficiently identifying bacteria. Read the blog and listen to the Invented Arizona podcast.

Ash Scheder Black, a data analyst within the Office of Global Initiatives (OGI), in conjunction with an OGI student program known as Tech.Global, developed a software solution to the current issues present in the UA's International Travel Registry system.

UA College of Nursing faculty Laura McRee has developed a resistance training device designed to target muscle deconditioning, venous stasis and further dangerous conditions.

CALS Professors Vedantam and Viswanathan team up to develop prevention of and treatment for Clostridium difficile infection in humans and animals.

UA College of Engineering faculty Pierre Deymier and Keith Runge have developed an alternative to the standard quantum computing bits, which can greatly improve a system's speed and stability.

UA College of Medicine-Tucson faculty Dr. Monica Kraft and Dr. Julie Ledford have developed a novel treatment for asthma and other lung-related diseases via a series of peptides related to surfactant protein A (SP-A).

UA College of Science professor Jeff Pyun has developed a new plastic uniquely suited for infrared imaging applications. Read more and hear our interview with Pyun on the first edition of Invented Arizona, TLA's new podcast!

University of Arizona faculty member, Michael Grandner, develops novel software platform and wearable to address sleep insufficiency in conjunction with University of Pennsylvania faculty member, Michael Perlis.

Ph.D. student Mohamad Moussa and Professor Marek Rychlik in the University of Arizona Department of Mathematics, have developed an improved method for mitigating data loss due to faults in the storage medium (disk).

UA professor of ecology and evolutionary biology Michael Worobey, Ph.D., has invented a new, sensitive method for retrieving genetic material (RNA) from heavily damaged samples, which was published in Nature in 2016. The technology is now available for license.