Applying Advanced Data Privacy Methods to Real World Data (RWD)

Project Scope 

The goal of this project is to develop a comprehensive, cross-disciplinary resource to support individuals and organisations in applying advanced privacy-preserving techniques to real-world data (RWD). Given the evolving landscape of privacy regulations and the increasing complexity of data sources – including integrating machine learning (ML), artificial intelligence (AI) and large language models (LLMs) into healthcare pipelines – this project will serve as a critical foundation for advancing privacy-preserving data integration frameworks for RWD.

Abhishek Mishra, GSK

abhishek.2.mishra@gsk.com

Elena Valkanova, Independent

evalkanova75@yahoo.com

Nicola Newton, PHUSE Project Coordinator

nicky@phuse.global