Wednesday, January 22, 2020

CCMB Seminar: "Digital phenotyping in inflammatory bowel disease"

4:00 PM to 5:00 PM

Forum Hall, 4th Floor, Palmer Commons Building

CCMB Seminar Series – sponsored by DCMB
by Dr. Ryan Stidham (University of Michigan)


In medicine, categorizing the characteristics, behavior, and severity of a disease is vital for estimating prognosis and choosing treatment.  Despite the volume of rich descriptive data available in medical images and texts, many of the features used for phenotyping are subjective or ambiguous.  Machine learning approaches offer opportunities to both standardize descriptions of disease and expand the detail of phenotyping assessments.  Using inflammatory bowel disease as an exemplar, we will discuss clinical applications of natural language processing, image segmentation, and computer vision to improve phenotyping for individuals and populations.