Solving healthcare data access challenges with synthetic data

Case study collection

Summary

Research and innovation in healthcare relies on the ability to access and analyze data. But with regulatory requirements and growing cybersecurity concerns, health organizations see their ability to use data limited. So how to maintain high healthcare data privacy standards while unlocking data for research on new diseases, personalized medicine, or studies on drug efficacy?

Read about real-life utilization of synthetic by healthcare organizations and institutions to discover their use-cases for synthetic health data and the challenges it helps them solve.

you'll learn about

  • Roche: sharing synthetic clinical data for Machine Learning applications
  • M-Sense: anonymizing health user data for research on migraine
  • Hackathon and patient data aggregation: anonymized cases from European healthcare organizations

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