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Data-driven Cancer Research Conference 2026

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92 posters, 1 audios, 1 topics, 567 authors, 81 institutions

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Data-driven Cancer Research Conference 2026

24-26 February 2026 | Edinburgh, Scotland

Home Posters by Code Posters by Title Authors Affiliations Topics Audios

P66

Predicting radiotherapy toxicity using machine learning and large datasets

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Poster Presenter

Tim Rattay

Authors

Adam J Webb, Vicki Emms, Bo Wang, Huiyu Zhou, André Panisson, Alan Perotti, Guido Bologna, Sofia Rivera, Marie Bergeaud, Alessio Romita, Karolien Verhoeven, Bram Ramaekers, Willem Witlox, Cheryl Roumen, Hilary Stobart, Gabriella Cortellessa, Francesca Fracasso, Iordanis Koutsopoulos, Ivana Matic,

Part of Topic

Predicting radiotherapy toxicity using machine learning and large datasets

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Nina Petrovic,

Marina Nikitovic,

Tatjana Stanojkovic,

Christopher J Talbot,

Tim Rattay

Affiliations

University of Leicester

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P03Incident Cardiovascular and Neurological Disease in High-Risk Cancer Sur...

P04Developing a Clinically Reliable Assessment Model for Breast Appearance...

P05Using AI and big data to identify a set of biologically validated drug t...

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