Advances in AI are enabling personalized healthcare beyond one-size-fits-all solutions available today. We are developing new algorithms with deep learning that can generate whole-body portraits of genomic data from samples as simple as a blood draw. These insights will empower researchers and clinicians to anticipate treatment outcomes more accurately and reduce the high rate of trial and error that is the norm today.
Presenters:
Zach DeBruine, Assistant Professor, College of Computing
Tony Boos, Student, Grand Valley State University
Jagger Denhof, Student, Grand Valley State University
Jack Foreback, Student, Grand Valley State University
Cardell Taylor, Student, Grand Valley State University
Carly Wolfe, Student, Grand Valley State University
Community Partners:
Chan Zuckerberg Initiative (funder)
Presidential Innovation Fund (funder)