NCI's Office of Data Sharing Annual Symposium (Abstract Submission): Submission #5

serial: '5'
sid: '144474'
uuid: e3560a33-19a5-4a72-8d5c-b8cf70c1a657
uri: /ods/annualdatasharingsymposium/abstract
created: '1749659490'
completed: '1749662225'
changed: '1749704877'
in_draft: '0'
current_page: ''
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uid: '0'
langcode: en
webform_id: office_of_data_sharing_abstract
entity_type: node
entity_id: '2141'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
  category: 'Demo Table Request'
  degree_s_: MS
  email: julia@glendor.com
  first_name: Julia
  keywords_abstracts: "multimodal data, PHI De-identification, patient's privacy, privacy protection, BAA-free data sharing "
  last_name: Komissarchik
  middle_initial: ''
  organization: 'Glendor, Inc'
  organization_address:
    address: ''
    address_2: ''
    city: Draper
    country: ''
    postal_code: ''
    state_province: ''
  summary: "The rapid expansion of data in cancer research includes a wealth of multimodal datasets such as medical images, pathology slides, surgical videos, photos, and audio recordings. As researchers begin to collect, aggregate, and analyze this diverse range of data, protecting patient privacy and ensuring highly scalable de-identification of Protected Health Information (PHI) for all kinds of medical data becomes critical. This poster describes Glendor PHI Sanitizer - software for automatic at source scalable removal of PHI from multimodal medical data to empower data sharing, while protecting patient's privacy."
  title: 'CEO & co-founder'
  ttile: "Automatic at source scalable removal of PHI from multimodal medical data to empower data sharing, while protecting patient's privacy."
  upload_abstract: '65433'