Matthew Field

Matthew Field

Director of AI Medicine and Engineering. Electrical engineer and AI researcher working across federated learning, medical image analysis, robotics, and healthcare data systems.

An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancer

Published in Nature Communications, 2026

Graphical abstract

Graphical abstract for the study on federated learning-based prognostic models for anal cancer.

Authors: Stelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, Maaike Berbee, Charlotte Deijen, Andre Dekker, Matthew Field, Maria Antonietta Gambacorta, Alexandra Gilbert, Marianne Grønlie Guren, Rashmi Jadon, Rohit Kochhar, Daniel Martin, Ahmed Allam Mohamed, Rebecca Muirhead, Oriol Parés, Łukasz Raszewski, Rajarshi Roy, Andrew Scarsbrook, David Sebag-Montefiore, Emiliano Spezi, Vassilios Vassiliou, Eirik Malinen, Leonard Wee, atomCAT Consortium

Published in: Nature Communications

DOI / Publisher link: https://doi.org/10.1038/s41467-026-70297-3

Keywords: Anal cancer, Machine learning, Outcomes research, Prognostic markers, Tumour biomarkers, Federated learning, Multi-centre study

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Recommended citation: Stelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, Maaike Berbee, Charlotte Deijen, Andre Dekker, Matthew Field, Maria Antonietta Gambacorta, Alexandra Gilbert, Marianne Grønlie Guren, Rashmi Jadon, Rohit Kochhar, Daniel Martin, Ahmed Allam Mohamed, Rebecca Muirhead, Oriol Parés, Łukasz Raszewski, Rajarshi Roy, Andrew Scarsbrook, David Sebag-Montefiore, Emiliano Spezi, Vassilios Vassiliou, Eirik Malinen, Leonard Wee, atomCAT Consortium (2026). "An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancer." Nature Communications. 114734.
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