BIG DATA COMPETITION

Supported by the Department of Medical Services of the Ministry of Public Health of Thailand, the 2nd APTOS Big Data Competition focuses on the prediction of anti-VEGF treatment outcomes based on tens of thousands of OCT images of patients’ eyes taken at baseline and at 6 months after the loading treatment.
 

Description

Anti-VEGF treatments are a group of medicines which reduce new blood vessel growth or swelling and can be used to treat a number of eye conditions that cause neovascularization or edema under the macular area of your retina at the back the eyes. However, a substantial number of patients do not respond to this therapy or do so to an inadequate degree. Those calculations have been reported to range from 10% to 50% depending on the study, despite receiving monthly injections of anti-VEGF therapies. Imagine you can identify non-responders before treatment and tailor individualized treatment plans for them.
 
In this synchronous competition, you will build a machine learning model to predict treatment response of patients with diabetic maculopathy, including age-related macular degeneration (AMD), diabetic macular edema (DME) and polypoidal choroidal vasculopathy (PCV). You will work with thousands of images collected in hospital settings to help predict patients’ response to anti-VEGF treatments.
 

Timeline
  • August 28, 2021 – Launch of Competition
  • September 1, 2021 – Accepting Submissions
  • October 31, 2021 – Entry Deadline, Team Merger Deadline & Preliminary Round Submission Deadline
  • November 17, 2021 – Final Submission Deadline (Only the top 100 teams in the preliminary can get through to the final.)
  • December 4, 2021Prize Presentation

 

Cash Prizes

Participants with the best scores on the private leaderboard are eligible to receive:

  • 1st Place – US$8,000
  • 2nd Place – US$5,000
  • 3rd Place – US$2,000

 
Additional Opportunities:
Winners in this competition will be invited to contribute to the joint APTOS-ZOC AI Seminar, a sequel of the 6th Asia Pacific Tele-Ophthalmology Society Symposium, on December 4, 2021. All winners must present in the “Share & Tell” session on December 4 in order to become eligible for the cash prizes.
 

 

Acknowledgment

We thank Rajavathi Hospital, Rhaiking Hospital and Zhongshan Ophthalmic Center for providing the images for the 2nd APTOS Big Data Competition.
 
We are also grateful towards Alibaba Cloud and Tianchi, our sole sponsors that provide us with the technical support necessary for the Competition to take place.

Bitnami