Beam Therapeutics and the Open Source Imaging Consortium join C-Path’s CPA-1 program, bringing gene editing innovation and global lung imaging data resources to advance new therapies for alpha-1 antitrypsin deficiency.
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.
AI-Focused Competition Called on the World’s Brightest Data Science Minds to Predict Lung Function Decline by Using Machine Learning
Open Source Imaging Consortium (OSIC) Announces Winners of Its $55,000 Kaggle ChallengeRead More »
The OSIC Pulmonary Fibrosis Progression Will Challenge the World’s Brightest Data Science Minds to Predict Lung Function Decline by Using Machine Learning
Global, Not-for-Profit, Collaborative Effort Focuses on Digital Imaging and Machine Learning to Enable Rapid Advances in the Fight against Idiopathic Pulmonary Fibrosis (IPF), Fibrosing ILDs, and Other Respiratory Diseases including Emphysematous Conditions
