Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
“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.”
The web tools will help state officials identify potential hotspots as they reopen Michigan to business.
Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.
Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.
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.
Collaborative website launched while U-M researchers continue advanced testing.
The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.
Prof. Wiens will continue to use machine learning techniques to study the disease.
Her primary research interests lie at the intersection of machine learning and healthcare.