Goal


OSIC was created to look at lung diseases differently, drive collaboration between unlikely partners. The goal was to use artificial intelligence and other technological advances to build and learn form the largest and most diverse image and clinical databases for fibrotic lung diseases.

Medical Application

Enable rapid, open source advances in the fight against idiopathic pulmonary fibrosis (IPF), fibrosing interstitial lung diseases (ILDs), and other respiratory diseases, including emphysematous conditions.

Timeline

Contribution by Thirona

Thirona makes use of the Data Repository for a variety of research activities in relation to ILDs.

 

Background

OSIC brings together radiologists, clinicians, computational scientists, and industry competitors from around the world to advance digital imaging biomarkers for accurate imaging-based diagnosis, prognosis and prediction of response to therapy. The partners work in pre-competitive areas for mutual benefit and most importantly, the benefit of patients.

Results


We have made use of the data for research on automatized quantification and prognosis of IPF patients and a study on longitudinal changes in IPF patients. The OSIC database faciltiates the search for digital imaging biomarkers, speeding up diagnosis and aiding in better understanding of individual prognosis and response to therapy.


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