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Data-driven Cancer Research Conference 2026

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

ePostersLive by SciGen Technologies S.A. All rights reserved.

Data-driven Cancer Research Conference 2026

24-26 February 2026 | Edinburgh, Scotland

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Showing 92 results.

Thumbnail for QResearch primary care records linked to national hospital and cancer registry data for personalised medicine: a validation study

P37

QResearch primary care records linked to national hospital and cancer registry data for personalised medicine: a validation study

Sanat Kulkarni, Victoria Perletta, Zhe Wang, Jeremy Tomlinson, Julia Hippisley-Cox, Gary Collins, Ashley Clift, David Dodwell, Simon Lord

University of Oxford

Poster Presenter: Sanat Kulkarni

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

P38

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

Efthymios Ladoukakis, Nikki Villanueva, Belinda Nedjai

Wolfson Institute of Population Health, Queen Mary University of London

Poster Presenter: Efthymios Ladoukakis

Thumbnail for Automatic Pipeline for Accurate Breast Volume Assessment

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P39

Automatic Pipeline for Accurate Breast Volume Assessment

Dmitrii Lebedev, Tim Rattay, Bo Wang, Adam Webb, Hasan Asfour

University of Leicester

Poster Presenter: Dmitrii Lebedev

Thumbnail for AI-defined Molecular Classifications in Ovarian Cancer (AAIMC-OC) for Equitable Access to Molecular Diagnostics

P40

AI-defined Molecular Classifications in Ovarian Cancer (AAIMC-OC) for Equitable Access to Molecular Diagnostics

Elaine Leung, J Teuwen, H Horlings, A Dekker, C Gourley, M Churchman, A Mukhopadhyay, M Mungania, E Walong, K Koelzer, T Bosse, R Ganesan, AP Karkala, S Pires De Oliveira, A Shauriq, L Cole,...

University of Birmingham

Poster Presenter: Elaine Leung

Thumbnail for Transfer learning of latent representations of irregularly timed clinical longitudinal data using latent-variable multi-output Gaussian processes: a case study on prostate cancer recurrence

P41

Transfer learning of latent representations of irregularly timed clinical longitudinal data using latent-variable multi-output Gaussian processes: a case study on prostate cancer recurrence

Zhengmao Li, Alan McWilliam, Mauricio Alvarez, Magnus Rattray

University of Manchester

Poster Presenter: Zhengmao Li

Thumbnail for Real World Data in Rare Tumours at the Proton Beam Centre: Linking Methodological Nuances to Clinical Impact

P42

Real World Data in Rare Tumours at the Proton Beam Centre: Linking Methodological Nuances to Clinical Impact

Maria Majeed, Anna France, Love Goyal, Shermaine Pan

The Christie NHS Foundation Trust, Department of Proton Beam Therapy, The Christie NHS Foundation Trust, Department of Proton Beam Therapy, The Christie NHS Foundation Trust / Division of Cancer Sciences, Facul...

Poster Presenter: Maria Majeed

Thumbnail for Independent contributions of specific Magnetic Resonance Imaging-quantified fat deposits to cancer incidence (UK Biobank): an expert consensus DAG-informed analysis

P43

Independent contributions of specific Magnetic Resonance Imaging-quantified fat deposits to cancer incidence (UK Biobank): an expert consensus DAG-informed analysis

Lee Malcomson, Michelle Harvie, Matthew Sperrin, Emma J Crosbie, Andrew G Renehan

The University of Manchester

Poster Presenter: Lee Malcomson

Thumbnail for Blood tests as early markers for upper gastrointestinal cancer: a longitudinal matched case control study

P44

Blood tests as early markers for upper gastrointestinal cancer: a longitudinal matched case control study

Ben McGuirk, Ekaterina Pazukhina, Kirsten Arendse, Pawandeep Virpal, Fiona Walter, Oleg Blyuss, Garth Funston

Queen Mary University of London

Poster Presenter: Ben McGuirk

Thumbnail for The BioResource Data Accelerator: An all-Wales approach to sample and genomic data access serving both the rare disease and cancer research communities

P45

The BioResource Data Accelerator: An all-Wales approach to sample and genomic data access serving both the rare disease and cancer research communities

Liz Merrifield, Peter Giles, Richard Clarkson, Richard Adams, Lisa Spary, Abigail Macarthur, Sian Morgan, Erik Waskiewicz, Sophie Shaw, Rhys Vaughan, Andrew Fry, Joanna Zabkiewicz

BioResource Data Accelerator, Wales Gene Park, Cardiff University, Wales Cancer Biobank, Cardiff University, All Wales Medical Genomics Service, Cardiff University

Poster Presenter: Liz Merrifield

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