for healthier lives
“What we are starting to think about… is to build on our understanding of some of the brain signatures that you see through functional MRIs and incorporate a broader group of biomarkers to better identify patients at risk for the development of chronic pain and markers of resilience,” said Chad Brummett, a member of the research team and Co-I of Precision Health’s Precision Opioid Prescribing use case.
Researchers at the U-M Rogel Cancer Center have developed a new diagnostic approach using artificial intelligence that predicts which stage 0 breast cancers are likely to recur and spread after surgery, and which ones surgery is likely to cure, with greater than 90% accuracy.
Thomas Gardner, MD, MS, an ophthalmologist at the Kellogg Eye Center, and Jeffrey Sundstrom, MD, PhD, an ophthalmologist at Penn State, are working with colleagues from U-M’s College of Engineering, Michigan Medicine, and the Bioinformatics Core to make an innovative device to extract adequate fluid samples from the eye, helping with diagnosis and individualized treatment plans for patients.
Mutations associated with perioperative complications: the clinical utility of genetic data
A recent study published in the British Journal of Anaesthesia drew on the genetic and electronic health record (EHR) data of more than 40K participants in the Michigan Genomics Initiative… more
The role of the protein FYN in anti-glioma immune responses
High-grade gliomas are aggressive brain tumors with limited treatment options and a poor prognosis. Going beyond conventional surgery, radiation, and chemotherapy, researchers are looking at the microenvironment of tumors, and… more
Democratizing genetic data for cancer research
A paper in the American Journal of Human Genetics describes Cancer PRSWeb: an open-access, online repository of polygenic risk scores for 35 cancer traits. Lead author Lars Fritsche, PhD, received a 2018 Precision Health Investigators Award to further this research.