Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer

Published in Journal of Biomedical Informatics, 2022

Graphical abstract

Conceptual overview of the proposed distributed machine learning infrastructure for computer-assisted cancer theragnostics, showing secure multi-site data harmonization, privacy-preserving collaborative training, and development of predictive models for treatment-related clinical events.

Authors: Matthew Field, David I. Thwaites, Martin Carolan, Geoff P. Delaney, Joerg Lehmann, Jonathan Sykes, Shalini Vinod, Lois Holloway

Published in: Journal of Biomedical Informatics

DOI / Publisher link: https://doi.org/10.1016/j.jbi.2022.104181

Keywords: Data mining, Decision support systems, Distributed learning, Federated learning, Machine learning, Radiation oncology

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Recommended citation: Matthew Field, David I. Thwaites, Martin Carolan, Geoff P. Delaney, Joerg Lehmann, Jonathan Sykes, Shalini Vinod, Lois Holloway (2022). "Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer." Journal of Biomedical Informatics. 134, 104181.
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