GREAD
  • HOME
  • AIMS
    • Aim 1: eProg from EHR-linked Registries
    • Aim 2: Impute DMTs with incomplete RX data
    • Aim 3: federated meta-learning of AE Risks
  • CASE STUDY
  • METHODOLOGY & ALGORITHMS
  • TEAM

Scalable and Generalizable Real-world Evidence on Unstructured Efficacy and Adverse Effect Endpoints for Chronic Diseases(GREAD)

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Aims

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eProg from EHR-linked Registries

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Impute DMTs with incomplete RX data

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federated meta-learning of AE Risks

The GREAD study is funded by the U.S. Food & Drug Administration (FDA).