Crowdsourcing Data to Improve Interstitial Lung Disease Outcomes

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.

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