Open Source Imaging Consortium (OSIC)OSIC – a global, 501(c)(3), not-for-profit cooperative effort between academia, industry and patient advocacy groups – was created to 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 for the countless patients and caregivers living with these diseases.
OSIC is a global effort using real-world curated data machine learning & collaboration to fight ILDs. Our MissionOSIC fosters collaboration and innovation between computational scientists, and industry competitors from around the world in ways that hadn't yet been considered 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.
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Our first-of-its-kind, curated ILD database is rich with diverse, global data that is organized, accurate and accessible for researchOSIC has built the world’s largest and most diverse global data repository for ILDs, with more than 20,000 anonymized HRCT scans and accompanying clinical data committed from multiple institutions and databases to date. Through the use of digital imaging and machine learning, OSIC members are utilizing this first‑of‑its‑kind, curated database to help clinicians speed diagnosis, aid prognosis, and treat patients living with these diseases more efficiently and effectively.
COMMITTED DATA TO DATE
20,789 anonymized scans with accompanying clinical data Committed goal surpassed: 15,000 anonymized scans |