High-throughput Truthing Project Overview Webinar, 19 February 2020
Channel: eeDAP User
Date: 2020-07-14

Researchers from the U.S. Food and Drug Administration, alongside academic colleagues, are collecting pathologist annotations as data for AI/ML algorithm validation for tumor infiltrating lymphocyte (TIL) detection and quantitation. We are asking pathologists to score 80 ROIs as part of a research study. We anticipate that this task will take 30 minutes plus intake and training that can be done ahead of time. The data are intended to inform the agency’s approach to novel algorithm validation, ensuring high quality commercial products with a faster FDA-pipeline to approval.

This webinar was given ahead of a data-collection event. The event has passed but others are planned.

Data-Collection Webinar Agenda:
   * High Throughput Truthing project:  Link to wiki page https://ncihub.org/groups/eedapstudies/wiki/HighThroughputTruthingYear3
        Brandon D. Gallas, PhD (15 min)
        Link to slides: https://ncihub.org/groups/eedapstudies/wiki/HighThroughputTruthingYear3/File:20200219_HTTdataCollectionWebinar-02192020.pdf 
   * Tumor Infiltrating Lymphocytes (TILs) clinical task.
        Roberto Salgado, MD (15 min)
        Link to slides: https://ncihub.org/groups/eedapstudies/wiki/HighThroughputTruthingYear3/File:TutorialWebsiteAdapted29012020.pdf
   * Instructions for data collection
        Sarah Dudgeon, MPH (15 min)
        Link to slides: https://ncihub.org/groups/eedapstudies/wiki/HighThroughputTruthingYear3/File:dataCollectionTutorialHTT.pdf
        Video demo of PathPresenter data-collection platform: https://youtu.be/_XWPoqZsdlk. 
    Q&A (15 min)