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.

Thumbnail for Experiences of fear of cancer recurrence under standard-of-care and patient-initiated follow-up: a qualitative study of head and neck cancer patients on the PETNECK2 trial

P55

Experiences of fear of cancer recurrence under standard-of-care and patient-initiated follow-up: a qualitative study of head and neck cancer patients on the PETNECK2 trial

Gozde Ozakinci, Maebh Kenny-Jones, Malcolm Babb, Andrew Hyde, Joanna Hyde, Ava Lorenc, Jo Brett, Lauren Matheson, Eila Watson, Mary Wells, Piers Gaunt, Claire Gaunt, Julia Sissons, Evaggelia...

University of Stirling

Poster Presenter: Gozde Ozakinci

P10

Exploring dose-response relationships in vertebral bone loss after pelvic radiotherapy: The prospective RadBone trial

Alan McWilliam, Viktoria Chatzimavridou-Grigoriadou, Claire Higham, Azadeh Abravan, Artemis Bouzaki

University of Manchester

Poster Presenter: Artemis Bouzaki

Data-driven Cancer Research Conference 2026

Posters by Title

Experiences of fear of cancer recurrence under standard-of-care and patient-initiated follow-up: a qualitative study of head and neck cancer patients on the PETNECK2 trial

Exploring dose-response relationships in vertebral bone loss after pelvic radiotherapy: The prospective RadBone trial

Exploring the ordering and setting of cancer and cardiovascular disease diagnosis by area-level deprivation in Wales

Fertility outcomes after early-onset colorectal cancer: a matched cohort study using linked population-based data in England

From Computer to Clinic: APOLLO – A Platform for Deploying and Validating Image-Based Machine Learning Models

Genetic and Health Determinants of Cancer Risk in Bangladeshi and Pakistani South Asians in the UK

Genomic Evidence for Depolyploidization as a Stabilizing Force in post-WGD Cancers

Getting the best bang for our cancer bucks

Harmonising Scotland’s cancer data: quantifying concordance across national datasets