This website and third-party tools we use rely on cookies for the best user experience. By selecting "I agree", you agree to cookie usage as described in our Privacy Policy.

Data-driven Cancer Research Conference 2026

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

Data-driven Cancer Research Conference 2026

24-26 February 2026 | Edinburgh, Scotland

Home Posters by Code Posters by Title Authors Affiliations Topics Sessions Videos Audios

Topics

Select Topic

Showing 92 results.

P64

Repurposing cardiovascular risk models to predict cancer onset.

Sam Quill, Aroon Hingorani, Nishi Chaturvedi, Amand Floriaan Schmidt

University College London

Poster Presenter: Sam Quill

P65

Validation of Breast Cancer Risk Models in a German Population-Based Study, the KORA cohort

Sidra Rashid, Ruth M. Pfeiffer, Anika Hüsing, Birgit Linkohr, Christian Gieger, Marion Kiechle, Anne Quante

Frauenklinik, Technical University of Munich (TUM), Klinikum rechts der Isar, TUM University Hospital, Munich, Germany, Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Instit...

Poster Presenter: Sidra Rashid

Thumbnail for Predicting radiotherapy toxicity using machine learning and large datasets

Previous 1...5 6 7 8 9 10 11 Next

This website and third-party tools we use rely on cookies for the best user experience. By selecting "I agree", you agree to cookie usage as described in our Privacy Policy.

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

Back

Data-driven Cancer Research Conference 2026

24-26 February 2026 | Edinburgh, Scotland

Home Posters by Code Posters by Title Authors Affiliations Topics Sessions Videos Audios

Topics

Select Topic

Showing 92 results.

P64

Repurposing cardiovascular risk models to predict cancer onset.

Sam Quill, Aroon Hingorani, Nishi Chaturvedi, Amand Floriaan Schmidt

University College London

Poster Presenter: Sam Quill

P65

Validation of Breast Cancer Risk Models in a German Population-Based Study, the KORA cohort

Sidra Rashid, Ruth M. Pfeiffer, Anika Hüsing, Birgit Linkohr, Christian Gieger, Marion Kiechle, Anne Quante

Poster Presenter: Sidra Rashid

Previous 1...5 6 7 8 9 10 11 Next

ePosters in

Topics Sessions

(90)

P66

Predicting radiotherapy toxicity using machine learning and large datasets

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, Ch...

University of Leicester

Poster Presenter: Tim Rattay

P67

A data-driven approach to promote diversity of recruitment in a cancer screening trial

Benjamin Ritchie, Victoria Vickerstaff, Adam R. Brentnall, Francesca Rawlins, Nikhil Mayor, Varsha Sonigra-Patel, Emma Cullen, Ros Eeles, Mark Emberton, Rakesh Heer, Caroline Moore, Hashim A...

Queen Mary University of London

Poster Presenter: Benjamin Ritchie

P68

Cross-Cancer Insights into ICI Response through Multi-Omic Data Harmonisation and Integration

Charlie Roberts, Umar Niazi, Charlotte Stuart, Gareth Griffiths

CRUK Southampton Clinical Trials Unit

Poster Presenter: Charlie Roberts

P69

Using multiple imputation as a method to account for missing stage at diagnosis in the National Cancer Registration Dataset

Sophia Lowes, Lorna Wills, Jon Shelton, Matthew Barclay, Mark Rutherford, Carolynn Gildea, Sean McPhail, David Foord, Jason Poole, Kirstin Roberts, Shane Johnson

Cancer Research UK, Cancer Intelligence, Cancer Research UK

Poster Presenter: Kirstin Roberts

P70

Early Prediction of Breast Cancer from NHS Screening Mammograms Using a Hybrid DINOv3–SEResNeXt Deep Learning Model

Ruggiero Santeramo, Igor Zubarev, Florian Jug

Human Technopole

Poster Presenter: Ruggiero Santeramo

P71

Deciphering the Prognostic Landscape of Regulated Cell Death in Colorectal Cancer using a Two-Step Machine Learning Framework

Avik Sengupta, Sushree Sangita Kar, Rahul Kumar

Indian Institute of Technology, Hyderabad

Poster Presenter: Avik Sengupta

Thumbnail for Blood cancer clinical trials Long-term follow-up using Integrated healthcare SystemS data (BLISS): a study protocol for a data linkage study

P72

Blood cancer clinical trials Long-term follow-up using Integrated healthcare SystemS data (BLISS): a study protocol for a data linkage study

Gordon Cook, Sarah Brown, Anna Hockaday, Sadie Roberts, Catherine Olivier, Kara-Louise Royle, Chris Parish, Katie Spencer, Shelagh Thompson, David Cairns, Lesley Smith

University of Leeds

Poster Presenter: Lesley Smith

ePosters in

Topics Sessions

(90)