PrecisionFDA
COVID-19 Precision Immunology App-a-thon

Participants will develop applications and pipelines to illuminate the relationship between personalized adaptive immunity molecular data and COVID-19 disease variables.

Starts

2020-11-30 16:15:27 UTC
Ends

2021-01-30 04:59:45 UTC

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PrecisionFDA
VHA Innovation Ecosystem and precisionFDA COVID-19 Risk Factor Modeling Challenge

The Veterans Health Administration (VHA) Innovation Ecosystem and Food and Drug Administration (FDA) call on the scientific and analytics community to develop and evaluate computational models to predict COVID-19 related health outcomes in Veterans.

Starts

2020-06-02 13:53:44 UTC
Ends

2020-07-03 13:53:53 UTC

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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

2020-06-16 03:00:59 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

2020-05-19 03:59:00 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
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
NCI-CPTAC Multi-omics Enabled Sample Mislabeling Correction Challenge - Subchallenge 2

Sample mislabeling (accidental swapping of patient samples) or data mislabeling (accidental swapping of patient omics data) is known to be one of the obstacles in basic and translational research because this accidental swapping contributes to irreproducible results and invalid conclusions. The objective of this challenge is to encourage development and evaluation of computational algorithms that can accurately detect and correct mislabeled samples using rich multi-omics datasets.

Starts

2018-11-06 00:00:00 UTC
Ends

2018-12-19 07:59:59 UTC

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PrecisionFDA
NCI-CPTAC Multi-omics Enabled Sample Mislabeling Correction Challenge - Subchallenge 1

Sample mislabeling (accidental swapping of patient samples) or data mislabeling (accidental swapping of patient omics data) is known to be one of the obstacles in basic and translational research because this accidental swapping contributes to irreproducible results and invalid conclusions. The objective of this challenge is to encourage development and evaluation of computational algorithms that can accurately detect and correct mislabeled samples using rich multi-omics datasets.

Starts

2018-09-24 19:00:00 UTC
Ends

2018-11-05 04:59:59 UTC

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PrecisionFDA
CDRH Biothreat Challenge

Provide challenge data sets and reference standards for performance comparison of bioinformatics tools used in the biothreat and infectious disease NGS diagnostics community. The focus of this challenge is to enable tool developers to test their algorithms on blinded mock-clinical and in silico metagenomics samples using provided regulatory-grade reference genomes from the FDA-ARGOS database. This will enable the community to look at bioinformatics pipeline performance using a fixed reference genome data standard. The challenge will help familiarize precisionFDA users with the agency’s innovative FDA-ARGOS database resource (www.fda.gov/argos).

Starts

2018-08-04 00:00:00 UTC
Ends

2018-10-19 03:00:00 UTC

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