AI-Focused Competition Called on the World’s Brightest Data Science Minds to Predict Lung Function Decline by Using Machine Learnin HOLLAND, Mich., Monday, December 14, 2020 – The Open Source Imaging Consortium (OSIC) announced today the winners of its $55,000 OSIC Pulmonary Fibrosis Progression Challenge, the first-ever computational challenge for interstitial lung diseases (ILDs). The AI-focused competition was administered by Kaggle, the world’s largest data science community platform, and asked participants to use machine learning to predict lung function decline in people living with pulmonary fibrosis.
The OSIC Pulmonary Fibrosis Progression Will Challenge the World’s Brightest Data Science Minds to Predict Lung Function Decline by Using Machine Learning HOLLAND, Mich., Tuesday, July 7, 2020 -- The Open Source Imaging Consortium (OSIC) announced today the launch of the $55,000 OSIC Pulmonary Fibrosis Progression, an AI-focused challenge to predict lung function decline in people living with pulmonary fibrosis. The competition is administered by Kaggle, the world’s largest data science community platform, and runs through October 6, 2020
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 HOLLAND, Mich., Wednesday, May 22, 2019 — An international group of leading experts and advocates in the fight against idiopathic pulmonary fibrosis (IPF), fibrosing interstitial lung diseases (ILDs), and other respiratory diseases including emphysematous conditions announced today the formation of the Open Source Imaging Consortium (OSIC). This global, not-for-profit organization is a cooperative and open source effort between academia, industry and philanthropy to enable rapid advances in the detection and diagnosis of these conditions through digital imaging and machine learning.
|
Releases |