Bringing the DSB to the Clinic: A New $100,000 Challenge

Bringing the DSB to the Clinic: A New $100,000 Challenge

Bringing the DSB to the Clinic: A New $100,000 Challenge

By June 12, 2017 Data Science No Comments

Bringing the DSB to the Clinic: A New $100,000 Challenge

The Bonnie J. Addario Lung Cancer Foundation and DrivenData have teamed up to create a new kind of data challenge: one where algorithms with top holdout set accuracy are just the beginning.

Part collaboration, part contest, part open source project, this challenge will catalyze the development of software for the clinical setting. Data scientists, software engineers, designers, and practitioners will join in one unified effort to translate experimental machine learning algorithms into a real tool to aid clinicians in catching lung cancer early. The prize-winning open models developed for the Data Science Bowl lung cancer detection challenge will serve as a jumping-off point for this next phase of development.

The Addario Lung Cancer Foundation (ALCF) is dedicated to making lung cancer a chronically managed disease by 2023. Early detection is critical to this mission. The five-year survival rate for lung cancer is 55% for cases detected when the disease is still localized (within the lungs), but just 4% once it has spread. Today only 16% of lung cancer cases are detected at this early stage. Moreover, a high false positive rate erodes trust and increases unnecessary worry for patients.

That’s why ALCF is funding a new challenge with $100,000 in prizes for contributions to develop practical, open source, clinic-ready software that takes advantage of cutting-edge approaches in machine learning and AI. This effort will engage contributors from around the world in bridging the critical divide between research and practice in order to achieve real change in the way radiologists are able to help patients and save lives now.

Learn more and sign up to be notified when the challenge launches at lung-cancer.drivendata.org.