AACC uses cookies to ensure the best website experience. Continuing without changing cookie settings assumes you consent to our use of cookies on this device. You can change these settings at any time, but that may impair functionality on our websites. Review our cookie and privacy policy

Data Challenges

Artery Challenges

AACC's Data Analytics Steering Committee created a series of data challenges on the Artery. The challenges are a chance to learn and share data analytics skills with like-minded colleagues. You can submit an answer to these challenges or ask a question about them at any time. AACC membership is required to access Artery posts.


Predicting PTHrP Results

In collaboration with the Informatics Section of the Department of Pathology and Immunology at Washington University School of Medicine, the AACC Data Analytics Steering Committee invited competitors to develop an algorithm that predicts a patient's PTHrP result using laboratory data available at the time of order. The winning team was invited to share their approach during the AACC Informatics Division luncheon at the 2022 AACC Annual Scientific Meeting.

See the competition description and download the dataset to test your own skills at Kaggle.

Read more about the competition and meet the winners in CLN.

In this video, Yingheng Wang describes the winning team's approach to predicting PTHrP results.