Deep-learning AI will help keep us ahead of drug resistant pathogens.|Short Read

By looking at tissue oxygen and cell metabolism at the same time, doctors could have a fast and noninvasive way to monitor the health of brain cells.|Long Read

A new method could replace trial and error drug development|Medium Read

Wiens is transitioning to Co-Director from a successful role as a Co-Lead for Precision Health’s Data Analytics & IT Workgroup, which expanded access to data and research tools across the university.|Short Read

U-M researchers have designed nanoparticles that intercept immune cells on their way to the spinal cord and redirect them away from the injury.|Medium Read

To meet computing demand in a post Moore’s Law future, Das develops new architectures that improve performance by orders of magnitude.|Medium Read

By harnessing the power and speed of graphics processing units, a University of Michigan startup can dramatically accelerate gene sequencing, shortening tasks that took multiple days to a single hour. |Medium Read

The result will be new measurement methods to determine how moods are shaped by both the behavior of an individual and daily interactions over time|Short Read

Collaboration between leading research universities will generate robotics and precision health advancements.|Medium Read

A Q&A with machine learning expert Emily Mower Provost.|Medium Read

Genome sequencing could be as affordable as a routine medical test with highly efficient computing.|Short Read

U-M researchers have devised a process that can grow hundreds of cultured cancer cell masses, called spheroids, from just a few tumor cells derived from a patient.|Medium Read