Privacy Challenges in the Health Sector through Emerging Technologies
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Yves Moreau is a professor at the University of Leuven, Belgium. His team focuses on AI algorithms and software platforms for the integration of complex data in clinical genomics and drug discovery: (1) federated analysis of real-world clinical and genomic data, (2) data fusion algorithms for the identification of pathogenic genetic variation in rare genetic disorders and liquid biopsies, and (3) data fusion for drug discovery and drug design. At the algorithmic level, he focuses on the development of novel AI methods, such as deep learning and Bayesian matrix factorization, for the fusion of heterogeneous sparsely-observed data; and on privacy-preserving implementations of such methods. He aims at demonstrated clinical or industrial applicability of their methods and proven effectiveness in human genetics research and drug discovery. He is also engaged in a reflection on how information technology and artificial intelligence are transforming our world and on how to make sure this transformation is beneficial for all. In particular, he is actively pushing back against the emergence of surveillance societies that has been made possible by such technological advances.