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During OSIC’s Industry Theater presentation, members discussed “Finding Meaningful Digital Biomarkers and AI for Rare Lung Disease.”
Luca Bogoni, Ph.D. — head of advanced research and innovation at OSIC member Carestream Health — shares his company’s reasons for supporting Project OPUS, including the potential of X-ray imaging to play an expanded role in diagnosis and care management of various pathologies.
Elizabeth Estes, The Open Source Imaging Consortium (OSIC) Executive Director, discusses adding X-Rays to the OSIC Data Repository and its resulting potential for quantifying respiratory diseases. Medicom Technologies is partnering with the Open Source Imaging Consortium (OSIC) to help continue to add anonymized, comprehensive data sets to the OSIC Data Repository.
The thought-provoking symposium discussed how OSIC is “Powering Digital Imaging Biomarkers and AI for Rare Disease.”
Open Source Imaging Consortium (OSIC) Member CSL Behring hosted a symposium during the European Respiratory Society (ERS) International Congress which included presentations from several internationally renowned experts in rare lung diseases. The panel discussed the need to improve clinical decision making to expedite disease recognition, prognostic prediction, and early treatment in interstitial lung disease (ILD) and alpha 1 antitrypsin (AAT) deficiency-related chronic obstructive pulmonary disease (COPD).
Radiologists are teaming up to gather data on IPF, a deadly lung disease, utilizing AI to more quickly diagnose and treat those who are affected.
Could a repository of anonymized CT scans and clinical information provide critical clues about rare, unclassified lung diseases? Elizabeth Estes, Executive Director of The Open Source Imaging Consortium (OSIC), and Dr. Simon Walsh, consultant radiologist and NIHR clinician scientist, sure think so.
In this episode, Elizabeth and Dr. Walsh discuss the exciting role machine learning and algorithms may play on enhancing our disease knowledge—from diagnosis and prognosis to biomarker discovery and therapy response. Companies across a range of industries are deploying image- and video-based artificial intelligence to improve and optimize key business processes and products. The OSIC Data Repository, supported by PwC and Microsoft, is building a platform to share anonymized imaging data to help with diagnosing the disease.
The Open Source Image Consortium (OSIC) is working to democratize medicine by giving OSIC clinicians and members everywhere the ability to access and benefit from the same technology and information as those affiliated with major research centers. “If we can figure out how to drive collaboration in healthcare, we will change the paradigm,” says Executive Director Elizabeth Estes.
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data3/21/2022
A Bold Approach: Improving Rare Disease Treatment and Patient Care through Data Transparency3/11/2022
For decades, the healthcare industry has lacked a long list of elements necessary to understand the nature of hundreds of rare diseases — industry cohesiveness and data transparency chief amongst them. With the help of PwC and Microsoft, one pioneering group of minds may have finally found a key part of the solution: an open-source approach to medical research.
“We have a lot of smart, motivated, dedicated people together who want to see these patients have a different path. The technology is there for personalized medicine. The technology is there to make advances in rare disease,” says Elizabeth Estes, Open Source Imaging Consortium (OSIC) Executive Director.
A discussion with The Open Source Imaging Consortium (OSIC), Microsoft and PwC: See how data and analytics, AI and cloud will reshape the future of healthcare.
A first-of-its-kind open source medical imaging and data repository platform is highlighting new possibilities to help improve the speed and accuracy of diagnosis and help patients, providers and researchers better manage the disease.
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March 2025
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