University of Michigan researchers have produced a new prediction model using longitudinal information and deep learning to better predict the return to work time for people with occupational injuries.
Helping people get back to work using deep learning in the occupational health system
Preventing prescription dispensing errors using machine intelligence
In the United States over four billion prescriptions are dispensed every year. Of those four billion around 2.4 million are incorrectly dispensed, which can be a fatal error. A team of researchers from the University of Michigan looks to machine intelligence to help humans reduce their dispensing errors.
Center for Ergonomics receives $1.1 million grant to study information automation vulnerabilities on modern flight decks
The Federal Aviation Administration has awarded Nadine Sarter and her Human-Automation Interaction and Cognition (THInC) Lab in the UM Center for Ergonomics a three-year, grant to study information management on the flight deck of highly automated aircraft.
How big data could optimize COVID-19 testing
Microsoft-supported project to coordinate site locations, supply distribution.
Hunger and COVID: Fighting pandemic-related food insecurity in Detroit
Public policy and engineering team up to improve food access.
Turning faces into thermostats
An autonomous HVAC system could provide more comfort with less energy.
How opt-out organ donation could affect U.S. waiting lists
A lack of consent plays a role in preventing donation from up to 40% of otherwise eligible donors.
How precision medicine is improving prostate cancer treatment
New, statistically-derived guidelines could potentially save millions of prostate patients from painful and invasive follow-up treatments.