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Translator Data Type Examples

The following list provides a sense of the breadth of data types to be considered for the Biomedical Data Translator, but it is not exhaustive:

  • Diseases
  • Signs of disease
  • Symptoms (from patient registries and natural history studies)
  • Patient-reported outcomes
  • Electronic health records
  • Clinical encounters
  • Prescription data
  • Health insurance claims data
  • Diagnostic labs
  • Biomedical imaging data
  • Adverse event reports
  • Biomarkers
  • Organ systems
  • Subanatomy
  • Tissue types
  • Cell types
  • Cell lineages
  • Cell processes
  • Organelles
  • Orthologs/Animal models
  • Microbiome data
  • Molecular mechanisms
  • Signaling pathways
  • Molecular and cellular networks
  • Environmental factors
  • Disease etiologies
  • Proteomes
  • Proteins
  • Post translational modifications (PTMs)
  • Co-factors
  • Transcriptomes
  • Epigenomes
  • Genes
  • Genetic mutations
  • Functional polymorphisms
  • Therapeutic interventions
  • Intervention exposure
  • Pharmacokinetics/Pharmacodynamics
  • Clinical trial data
Last updated: 09-11-2017
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