Researchers who are AI & Digital Health Innovation (AI&DHI) members were awarded a $17.9m grant from the National Institute of Mental Health to support the development of new precision medicine approaches aimed at improving mental health care access and outcomes.

Using artificial intelligence, researchers have discovered how to screen for genetic mutations in cancerous brain tumors in under 90 seconds — and possibly streamline the diagnosis and treatment of gliomas, a study suggests.

In a rapid response to the dire shortage of intravenous (IV) fluid bags currently affecting hospitals nationwide, investigators from the University of Michigan (U-M) Digital Health Innovation and Max Harry Weil Institute for Critical Care Research and Innovation developed a projection model to help U-M Health leadership make critical and timely decisions around conservation of crucial medical supplies. 

The goal of this research is to determine the clinical significance of potential racial bias in pulse oximetry measurement.

This research initiative is focusing on understanding the factors that put people at risk of long-term opioid use so that these patients can be prescribed alternative pain management strategies when having surgery.

This research initiative identified patients carrying DPYD variants based on Michigan Genomics Initiative.