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