To improve the prediction and identification of stem-like cancer cells, Prof. Euisik Yoon’s group developed a method that is 3.5 times faster than the standard approach.
To improve the prediction and identification of stem-like cancer cells, Prof. Euisik Yoon’s group developed a method that is 3.5 times faster than the standard approach.
It will now be possible to study brain activity when timing is important, such as the consolidation of memory.
A major defense project pivots to explore how to encourage COVID-safe behavior effectively.
Room-temperature plasma beams could essentially dissolve away bacteria and viruses.
The post Plasma jet wands could rapidly decontaminate hospital rooms appeared first on Michigan Engineering News.
A wrist-worn device detected disrupted sleep 24 hours before study participants began shedding flu viruses.
The post Could a smartwatch identify an infection before you start spreading it? appeared first on Michigan Engineering News.
Collaborative website launched while U-M researchers continue advanced testing.
Prof. Alfred Hero speaks to ECE about his work using data to predict the transmission of infectious disease among people who are pre-symptomatic or asymptomatic and how it relates to COVID-19.
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.
The post Toward a portable concussion detector that relies on an infrared laser appeared first on Michigan Engineering News.
Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.
The rays used by airport scanners might have a future in medical imaging.