PrecisionFDA
Truth Challenge V2: Calling Variants from Short and Long Reads in Difficult-to-Map Regions

This challenge calls on the public to assess variant calling pipeline performance on a common frame of reference, with a focus on benchmarking in difficult-to-map regions, segmental duplications, and the Major Histocompatibility Complex (MHC).

• Starts

  2020-05-01 21:00:00 UTC

• Ends

  2020-06-09 03:00:59 UTC

13 days remaining

PrecisionFDA
Gaining New Insights by Detecting Adverse Event Anomalies Using FDA Open Data

During the life-cycle of FDA regulated products, FDA collects data from a diversity of sources including voluntary reports from healthcare providers and patients. While cause and effect are not always conclusive or relevant in these reports, valuable insights into the impact of regulated products on public health have been found in individual reports and in evaluation of reported data. This challenge engages data scientists to use evolving data science techniques to identify anomalies that may lead to valuable public health information.

• Starts

  2020-01-17 19:20:00 UTC

• Ends

  2020-05-19 03:59:00 UTC

PrecisionFDA
Brain Cancer Predictive Modeling and Biomarker Discovery Challenge

An estimated 86,970 new cases of primary brain and other central nervous system tumors are expected to be diagnosed in the US in 2019. Brain tumors comprise a particularly deadly subset of all cancers due to limited treatment options and the high cost of care. Clinical investigators at Georgetown University are seeking to advance precision medicine techniques for the prognosis and treatment of brain tumors through the identification of novel multi-omics biomarkers. In support of this goal, precisionFDA and the Georgetown Lombardi Comprehensive Cancer Center and The Innovation Center for Biomedical Informatics at Georgetown University Medical Center (Georgetown-ICBI) are launching the Brain Cancer Predictive Modeling and Biomarker Discovery Challenge! This challenge will ask participants to develop machine learning and/or artificial intelligence models to identify biomarkers and predict patient outcomes using gene expression, DNA copy number, and clinical data.

• Starts

  2019-11-01 16:00:00 UTC

• Ends

  2020-02-15 04:59:59 UTC