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

Data-driven Cancer Research Conference 2026

24-26 February 2026 | Edinburgh, Scotland

Posters by Title

Showing 92 results.

P58

Inequalities in routes to diagnosis, time to diagnosis and time to treatment for individuals with breast cancer in England

Tetyana Perchyk, Agnieszka Lemanska, Luke T A Mounce, Tanimola Martins, Kate Sykes, Isabella de Vere Hunt, Brian D Nicholson, Georgios Lyratzopoulos, Katriina L Whitaker, Robert S Kerrison

University of Surrey

Poster Presenter: Tetyana Perchyk

P86

Integrative epigenomic insights into breast cancer phenotypes and early drivers

Edward Wiltshire, Jacqui Shaw

University of Leicester

Poster Presenter: Edward Wiltshire

Data-driven Cancer Research Conference 2026

Posters by Title

Inequalities in routes to diagnosis, time to diagnosis and time to treatment for individuals with breast cancer in England

Integrative epigenomic insights into breast cancer phenotypes and early drivers

INTERACT- Understanding inclusivity in oncology clinical trials: a data-driven approach

Internal validation in -omic datasets for machine learning based cancer predictors

Long-term infection risks in haematological cancer survivors compared with individuals with no cancer history: a systematic review aided by artificial intelligence-based methods

Machine learning models combining the faecal immunochemical test with routinely collected data may reduce colonoscopy demand in 35,812 pan-risk patients

MANIFEST: Multiomic Platform for Cancer Immunotherapy

MEDULLOBLASTOMA INTRA-TUMOURAL HETEROGENEITY HAS POTENTIAL TO IMPROVE BIOMARKER-DRIVEN THERAPEUTIC STRATIFICATION

MOKCa-3D Database: Functional and structural analysis of missense mutations in cancer.