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Precision Health

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Precision health in the palm of your hand

Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.

Wireless sensors for N95 masks could enable easier, more accurate decontamination

“The technology can give users the confidence they deserve when reusing respirators or other PPE.”

Students lead the way on State of Michigan web application to help curb the spread of COVID-19

“I don’t think any of us expected a global pandemic at the end of our senior year, let alone being able to work on an application that helps address it.”

Web app, dashboard from U-M to inform Michiganders’ return to work

The web tools will help state officials identify potential hotspots as they reopen Michigan to business.

Faster than COVID: a computer model that predicts the disease’s next move

Predictive model could help care providers stay safe, anticipate patient needs.

Faculty Profile: Emily Mower Provost

Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.

Computer scientists employ AI to help address COVID-19 challenges

Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.

Emily Mower Provost named Toyota Faculty Scholar

Her work uses machine learning to measure mood, emotion, and other aspects of human behavior for purposes of providing early or real-time interventions for people in managing their health.

Guidance on decontaminating face masks: U-M researchers contribute to national effort

Collaborative website launched while U-M researchers continue advanced testing.

CSE faculty funded for three precision health projects

The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.

Startup founded by U-M assoc. professor gets NSF grant

Healthcare security company Virta Laboratories, Inc. has received a $750,000 grant from the National Science Foundation Small Business Innovation Research (SBIR) program.

U-M researchers launch fight against C. difficile with $9.2M grant from NIH

Prof. Wiens will continue to use machine learning techniques to study the disease.

Jenna Wiens receives NSF CAREER Award to increase the utility of machine learning in clinical care

Her primary research interests lie at the intersection of machine learning and healthcare.