Podcast: Student Innovation Holds Promise for Breast Cancer Screening

[[{"type":"media","view_mode":"media_crop","fid":"1735","attributes":{"alt":"","class":"media-image","id":"media_crop_7567161365917","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"201","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","title":" ","typeof":"foaf:Image"}}]]Imagine a fast, inexpensive method for breast cancer screening. That’s some of the promise behind a new innovation from a doctoral student who has discovered a way to use ultrasound and advanced algorithms to differentiate between benign and malignant tumors.

Sevan Goenezen, a student at the department of mechanical, aerospace, and nuclear engineering at Rensselaer Polytechnic Institute, researched nonlinear elasticity imaging for breast cancer diagnosis. Here Geonezen and his faculty advisor, Assad Oberai, discuss this innovation and what it could mean for breast cancer diagnosis, as well as diagnosis of other diseases.