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First-of-its-Kind, Global Data Repository for Interstitial Lung Diseases Launches Through Academic and Industry Collaborative

9/7/2021

 
The highly-anticipated Open Source Imaging Consortium (OSIC) database is driven by global experts in pulmonology, radiology and artificial intelligence, and is the most diverse and largest for rare fibrotic lung diseases
MEDIA CONTACT
​Theresa Hennessey Barcy
theresa@tmhpublicrelations.com
​773-960-7276
HOLLAND, Mich., Tuesday, September 7, 2021 – The Open Source Imaging Consortium (OSIC) today announced the launch of its global, data-rich repository of anonymized HRCT scans and clinical information regarding interstitial lung diseases (ILDs). This first-of-its-kind database is the world’s largest and most diverse, with a plethora of real world clinical and imaging data that is both multi-ethnic and multi-center. The OSIC Data Repository currently houses close to 1,500 anonymized and quality-controlled scans with accompanying data, and has an additional 5,000 in the quality control queue. It is on track to reach its goal of 15,000 anonymized scans, available to OSIC members, by first quarter 2022.​

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Interstitial Lung Disease (ILD) Experts and Advocates Announce Formation of Open Source Imaging Consortium (OSIC)

5/22/2019

 
Global, Not-for-Profit, Collaborative Effort Focuses on Digital Imaging and Machine Learning to Enable Rapid Advances in the Fight against Idiopathic Pulmonary Fibrosis (IPF), Fibrosing ILDs, and Other Respiratory Diseases including Emphysematous Conditions ​
MEDIA CONTACT
​Theresa Hennessey Barcy
theresa@tmhpublicrelations.com
​773-960-7276
HOLLAND, Mich., Wednesday, May 22, 2019 — An international group of leading experts and advocates in the fight against idiopathic pulmonary fibrosis (IPF), fibrosing interstitial lung diseases (ILDs), and other respiratory diseases including emphysematous conditions announced today the formation of the Open Source Imaging Consortium (OSIC). This global, not-for-profit organization is a cooperative and open source effort between academia, industry and philanthropy to enable rapid advances in the detection and diagnosis of these conditions through digital imaging and machine learning.

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  • About OSIC ▾
    • Our Goals
    • Board of Directors
    • Working Groups
  • Data Repository ▾
    • About the Data Repository
    • Data Repository Support
  • Challenges ▾
    • Kaggle Challenge #1
    • Member Challenge
    • Kaggle Challenge #2
  • Membership
  • Newsroom ▾
    • Press
    • Blog
  • Contact Us