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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

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Showing 92 results.

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 Use of AI for the early detection of upper GI cancers from routine blood tests

P46

Use of AI for the early detection of upper GI cancers from routine blood tests

Lesley Smith, Owen Johnson, Gordon Cook, Marc de Kamps, Victoria Moglia

University of Leeds

Poster Presenter: Victoria Moglia

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Thumbnail for Using AI and big data to identify a set of biologically validated drug targets for hard-to-treat cancers

P05

Using AI and big data to identify a set of biologically validated drug targets for hard-to-treat cancers

Daniel Beach, Michelle Garrett, Stuart Farrow, Frances Pearl

University of Sussex

Poster Presenter: Daniel Beach

Thumbnail for Using English linked population-based electronic health records to understand respiratory outcomes after cancer over the course of survivorship .

P02

Using English linked population-based electronic health records to understand respiratory outcomes after cancer over the course of survivorship .

Kirsty Andresen, Helena Carreira, Harriet Forbes, Liza Bowen, Jenni Quint, Elizabeth Williamson, Krishnan Bhaskaran

London School of Hygiene and Tropical Medicine

Poster Presenter: Kirsty Andresen

Thumbnail for Using longitudinal linked electronic health records data to investigate lifetime obesity prevalence in cancer patients undergoing systemic anticancer in England

P59

Using longitudinal linked electronic health records data to investigate lifetime obesity prevalence in cancer patients undergoing systemic anticancer in England

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

University of Oxford

Poster Presenter: Victoria Perletta

Thumbnail for Using MRI ADC Values to Reduce Over-Diagnosis and Over-Biopsy of Prostate Cancer

P48

Using MRI ADC Values to Reduce Over-Diagnosis and Over-Biopsy of Prostate Cancer

Megan Morris, Marcus Tyyger, Bashar Al-Qaisieh, Catherine Parchment-Smith, Jonathan Timothy Smith

Leeds Teaching Hospitals NHS Trust

Poster Presenter: Megan Morris

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

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

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

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 X-FCDD: Explainable Multi-View Anomaly
Detection for Mammography

P91

X-FCDD: Explainable Multi-View Anomaly Detection for Mammography

Igor Zubarev, Ruggiero Santeramo, Florian Jug

Fondazione Human Technopole

Poster Presenter: Igor Zubarev

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