PrecisionFDA
BioCompute Object (BCO) App-a-thon


PrecisionFDA is partnering with George Washington University and FDA/CBER HIVE to launch a BioCompute Object (BCO) App-a-thon. Participants will be given the opportunity to enhance standards around reproducibility and documentation of biomedical high-throughput sequencing through BCO creation and conformance. Beginner and advanced tracks will be available for all participant levels.


  • Starts
    2019-05-14 14:55:14 UTC
  • Ends
    2019-10-18 14:55:26 UTC
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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
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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
    2020-02-29 04:59:00 UTC

6 days remaining

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