Developing Radiomic Biomarkers using Deep Learning

FOUND IN: Events, Research Event

Date

Thursday, December 9, 2021

Time

11:00am - 1:00pm

Location

https://forms.gle/rpJJy4ZtpGGLtEB38

Description

All U-M faculty, staff, and students are welcome to join us on Thursday, Dec. 9, 11 a.m.-1 p.m., as David Nola, from NVIDIA’s Healthcare Solutions Architecture Team, provides training on how to utilize TensorFlow to develop biomarkers from medical images.

The workshop will include a case study in which researchers from the Mayo Clinic utilized these techniques to detect the 1p19q co-deletion biomarker from MRI imaging, which has led to more effective treatments and better health outcomes for patients with brain tumors.

Workshop activities will include:

  • Designing and training convolutional neural networks (CNNs)
  • Using imaging genomics (radiomics) to create biomarkers that identify the genomics of a disease without the use of an invasive biopsy
  • Exploring the radiogenomics work being done at the Mayo Clinic

Upon completion, you’ll have unique insight into the novelty and promising results of using deep learning to predict radiomic biomarkers.

Register here and a Zoom link will be sent on Dec. 8: https://forms.gle/rpJJy4ZtpGGLtEB38

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