• Artificial Intelligence in Tumor Imaging: Needs, Opportunities & Challenges

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    Name: Artificial Intelligence in Tumor Imaging: Needs, Opportunities & Challenges
    Date: November 11, 2019
    Time: 7:30 AM - 5:15 PM EST
    Website: Learn more!
    Event Description:

    Five years ago the CEO Roundtable on Cancer's Project Data Sphere® (PDS), in partnership with the FDA, founded a series of symposia devoted to areas fertile for fresh attention in the realm of cancer clinical trials. Fostered by Rick Pazdur, Rob Califf, Scott Gottlieb and now Ned Sharpless, this series has consistently elevated the conversation, often deriving major new thrusts from academia, industry as well as from our FDA.

    The primary mission of FDA-PDS Symposium VIII is to discuss the development of machine learning algorithms, based on computerized tomography (CT) images, to improve the efficiency and consistency of CT tumor measurements and to augment/eliminate the adjudication of CT readings. CT scans offer a consistent methodology of use across research institutions to develop a common AI solution for big data, applicable for 90% of solid tumors.

    Hosted by Stanford University School of Medicine, the Symposium will focus on PDS' Images and Algorithms Program devoted to machine learning image-recognition algorithms. These algorithms may be used for continuous and categorical measurement of cancer tumor dynamics.

    Project Data Sphere ®, is an independent, not-for-profit initiative of the CEO Roundtable on Cancer's Life Sciences Consortium (LSC). For more information on Project Data Sphere ® click here.

    Berg Hall, Li Ka Shing Center
    Stanford University School of Medicine
    291 Campus Drive
    Palo Alto, CA 94305
    It will also be offered through a live webcast for those unable to travel to Stanford.

    Date/Time Information:
    Monday, November 11, 2019
    7:30 AM to 5:15 PM PST
    Contact Information:
    Gwen Thomas, 919-271-1032
    This event is free. Register by November 1.
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