MARL: Multimodal Attentional Representation Learning for Disease Prediction

9/19/2021

 
Data from the OSIC Data Repository was used to conduct this research.

OSIC Opens Large Database to Aid Research Into PF, Other ILDs

9/15/2021

 
A large and multi-ethnic database, reported to be the first of its kind for rare lung diseases, is now compiling real-world clinical and imaging data on people with pulmonary fibrosis (PF) and other interstitial lung diseases (ILDs) from centers across the globe.

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
[email protected]
​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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Analysis of Idiopathic Pulmonary Fibrosis through Machine Learning Techniques

9/6/2021

 
Data from the OSIC Data Repository was used to conduct this research.​

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