ESRs Soumia Zohra El Mestari and Fatma Sümeyra Doğan, along with Dr Marietjie Botes, have recently published a paper at the Privacy Symposium: Data Protection Law International Convergence and Compliance with Innovative Technologies proceedings that delve into the technical and legal aspects related to the reuse of health data when repurposing machine learning models in the EU. The paper titled “Technical and Legal Aspects Relating to the (Re)Use of Health Data When Repurposing Machine Learning Models in the EU” not only examines the impact of machine learning technologies but also focuses on specific concepts, such as “knowledge transfer,” and assesses their potential implications within the context of emerging EU legislation, including the Data Governance Act and EHDS proposal.
The objective of the research is to provide insights into the use of machine learning models in the healthcare sector, particularly in light of the increasing volume of healthcare data being generated. The paper highlights the challenges and opportunities related to the (re)use of health data, the ethical and legal implications associated with the use of such data and the potential benefits that can be achieved by using machine learning models to analyze healthcare data.
Overall, the paper provides a comprehensive analysis of the technical and legal aspects associated with the (re)use of health data and machine learning models within the EU. The research findings are relevant for policymakers, healthcare providers, and researchers who are interested in the latest developments in the field of machine learning and healthcare data analysis.
The paper can be read here