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‘machine learning’

VISE affiliates are using machine learning to recognize affected skin in photos and help enhance automation

Mar. 21, 2019—Bioengineers and dermatologists join forces with help from machine learning. One challenge in developing new treatments for skin conditions is reliably quantifying affected areas. Research dermatologists must pore over images to demarcate lesion boundaries—and stay consistent in their assessments between images and patients. Researchers in pathology and radiology rely on similar approaches. New research suggests...

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VISE affiliate awarded 2019 AHA Predoctoral Fellowship

Jan. 16, 2019—A biomedical engineering graduate student who is participating in the Medical Scientist Training Program has received a two-year fellowship aimed at improving global cardiovascular health. Camilo Bermudez Noguera, a VISE affiliate in the MASI Lab, received the 2019 Predoctoral Fellowship from the American Heart Association. “I am incredibly excited for this opportunity. I believe this...

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Brett Byram leads team to develop ultrasound technology for the brain that could mean real-time images during surgery

May. 8, 2018—Ultrasound technology for the brain could mean real-time images during surgery, a better idea of which areas get stimulated by certain feelings or actions and, ultimately, an effective way for people to control software and robotics by thinking about it.

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