MiCHAMP / CHOP / IHPI Combined Seminars on May 4th

DAVID HODGSON, MD, MPH, FRCPC University of Toronto MiCHAMP / IHPI SEMINAR Friday, May 4, 2018 | 2:30-3:30 PM NCRC B10 G063 Change has its Enemies: Opportunities and Barriers in the Adoption of Machine Learning Methods in Oncology   Bio & event info DANIELLE RODIN, MD, MPH, FRCPC University of Toronto CHOP / IHPI SEMINAR…

Jenna Wiens

C. difficile Risk Prediction Using Machine Learning

Every year nearly 30,000 Americans die from an aggressive, gut-infecting bacteria called Clostridium difficile (C. difficile), which is resistant to many common antibiotics and can flourish when antibiotic treatment kills off beneficial bacteria that normally keep it at bay. Investigators from Massachusetts General Hospital (MGH), the University of Michigan (U-M) and Massachusetts Institute of Technology (MIT) now…

Kayvan Najarian

Kayvan Najarian featured as the Michigan Medicine Headlines Researcher of the Week

The goal of Kayvan Najarian, Ph.D.’s research, funded by a grant from the American Heart Association (AHA), is to exploit recent advancements in signal processing and machine learning algorithms to construct a fully automated, computer-based platform — AngioAid — that efficiently assists cardiologists with coronary angiogram video evaluation. Preliminary work by the group suggests such…

Kayvan Najarian

Kayvan Najarian, PhD.

Email: kayvan@med.umich.edu MCIRCC Profile Biography Dr. Najarian’s research focuses on signal / image processing and machine learning to assist in clinical decision making to improve healthcare and reduce costs.   What drew you to MiCHAMP? Even though I was already working with a number of MiCHAMP members prior to establishment of the group, I believe…