Pancreatic cancer AI for genomics and personalized Medicine

Project Information

PANCAIM

Grant agreement ID: 101016851

DOI

10.3030/101016851

Project closed

EC signature date 4 December 2020

Start date 1 January 2021

End date 30 September 2025

Funded under

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Total cost

€ 8 236 378,75

EU contribution

€ 8 236 378,75

Coordinated by

STICHTING RADBOUD UNIVERSITAIR MEDISCH CENTRUM
Netherlands

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (1)

Project webpage

Description of the PANCAIM webpage that will be prepared in the first months of the project

Other (1)

Open-source prediction algorithms beta-tested and made available in GitHub

Prediction algorithms tested by the end-user group, and the source codes of the algorithms made available for community use

Documents, reports (1)

Dissemination and communication strategy

The definition of the dissemination and communication strategy and tools to be used during the life of the project All possible dissemination routes for the obtained results will be identified and used during the whole course of the project

Publications

Peer reviewed articles (13)

Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer

Author(s): Pierpaolo Vendittelli, John-Melle Bokhorst, Esther M. M. Smeets, Valentyna Kryklyva, Lodewijk A. A. Brosens, Caroline Verbeke, Geert Litjens
Published in: PLOS ONE, Issue 19, 2024, Page(s) e0301969, ISSN 1932-6203
Publisher: Public Library of Science
DOI: 10.1371/journal.pone.0301969

Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT

Author(s): Natália Alves, Joeran S. Bosma, Kiran V. Venkadesh, Colin Jacobs, Zaigham Saghir, Maarten de Rooij, John Hermans, Henkjan Huisman
Published in: Radiology, Issue 308, 2023, ISSN 0033-8419
Publisher: Radiological Society of North America
DOI: 10.1148/radiol.230275

Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications

Author(s): Megan Schuurmans, Natália Alves, Pierpaolo Vendittelli, Henkjan Huisman, John Hermans, PANCAIM Consortium
Published in: Gastroenterology, Issue Volume 165, Issue 2, 2023, Page(s) 309-316, ISSN 1528-0012
Publisher: American Gastroenterological Association
DOI: 10.1053/j.gastro.2023.04.003

Pancreatic Cancer From the Patient Perspective: The Time to Act is Now

Author(s): Marianna Vitaloni, Patrick Michl, Matthias Löhr, Ali Stunt, Patrycja Rzadkowska, Eva Backman, Lama Sharara, Vitor Neves, Thomas Gruenberger, Zorana Maravic
Published in: Journal of Patient Experience, Issue 9, 2025, ISSN 2374-3735
Publisher: SAGE Publications
DOI: 10.1177/23743735221112633

A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational study

Author(s): Nannan Xue, Sergio Sabroso-Lasa, Xavier Merino, Maria Munzo-Beltran, Megan Schuurmans, Maria Olano, Lidia Estudillo, Maria Jesús Ledesma-Carbayo, Junqi Liu, Ruitai Fan, John J Hermans, Casper van Eij
Published in: Gut, Issue 74, 2025, Page(s) 2024-2034, ISSN 0017-5749
Publisher: BMJ Publishing Group
DOI: 10.1136/gutjnl-2024-334237

The DRAGON benchmark for clinical NLP

Author(s): Joeran S. Bosma, Koen Dercksen, Luc Builtjes, Romain André, Christian Roest, Stefan J. Fransen, Constant R. Noordman, Mar Navarro-Padilla, Judith Lefkes, Natália Alves, Max J. J. de Grauw, Leander v
Published in: npj Digital Medicine, Issue 8, 2025, ISSN 2398-6352
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/s41746-025-01626-x

Can our experience with surveillance for inherited pancreatic cancer help to identify early pancreatic cancer in the general population?

Author(s): J.-Matthias Löhr, Daniel Öhlund, Emma Söreskog, Emil Andersson, Miroslav Vujasinovic, Niklas Zethraeus, Malin Sund
Published in: Familial Cancer, Issue 23, 2024, Page(s) 399-403, ISSN 1389-9600
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10689-024-00363-6

Pancreatic incidentaloma: incidental findings from history towards the era of liquid biopsy

Author(s): J-Matthias Löhr, Miroslav Vujasinovic, Nikolaos Kartalis, Philipp Osten
Published in: eGastroenterology, Issue 2, 2025, Page(s) e100082, ISSN 2766-0125
Publisher: BMJ
DOI: 10.1136/egastro-2024-100082

Explainable multi-omics deep clustering model reveals an important role of DNA methylation in pancreatic ductal adenocarcinoma

Author(s): Alberto López, John Zobolas, Ole Christian Lingjærde, Daniel Nebdal, Thomas Fleischer, Tero Aittokallio
Published in: Nordic Machine Intelligence, Issue 4, 2024, Page(s) 26-42, ISSN 2703-9196
Publisher: University of Oslo Library
DOI: 10.5617/nmi.10584

End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study

Author(s): Megan Schuurmans, Anindo Saha, Natália Alves, Pierpaolo Vendittelli, Derya Yakar, Sergio Sabroso-Lasa, Nannan Xue, Núria Malats, Henkjan Huisman, John Hermans, Geert Litjens
Published in: European Radiology, Issue 35, 2025, Page(s) 7537-7548, ISSN 1432-1084
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/s00330-025-11694-y

Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography

Author(s): Natália Alves; Megan Schuurmans; Geke Litjens; Joeran S. Bosma; John Hermans; Henkjan J. Huisman
Published in: Cancers, Issue 14(2), 376, 2022, ISSN 2072-6694
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14020376

Mutational signature dynamics indicate SARS-CoV-2’s evolutionary capacity is driven by host antiviral molecules

Author(s): Kieran D. Lamb, Martha M. Luka, Megan Saathoff, Richard J. Orton, My V. T. Phan, Matthew Cotten, Ke Yuan, David L. Robertson
Published in: PLOS Computational Biology, Issue 20, 2024, Page(s) e1011795, ISSN 1553-7358
Publisher: Public Library of Science (PLoS)
DOI: 10.1371/journal.pcbi.1011795

Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging

Author(s): Megan Schuurmans; Natália Alves; Pierpaolo Vendittelli; Henkjan Huisman; John Hermans
Published in: Cancers, Issue 14(14), 3498, 2022, ISSN 2072-6694
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14143498

Other (4)

Tutorial on survival modelling with omics data

Author(s): Zhi Zhao, John Zobolas, Manuela Zucknick, Tero Aittokallio
Published in: 2023
Publisher: Arxiv
DOI: 10.48550/arxiv.2302.12542

Deliverable D4.1: Open-source prediction algorithms beta-tested and made available in GitHub

Author(s): Zobolas, John; Aittokallio, Tero
Published in: Issue 7, 2023
Publisher: PANCAIM Consortium
DOI: 10.5281/zenodo.8119247

Automatic quantification of TSR as a prognostic marker for pancreatic cancer.

Author(s): Pierpaolo Vendittelli, John-Melle Bokhorst, Esther Smeets, Valentyna Kryklyva, Lodewijk Brosens, Caroline Verbeke, Geert Litjens
Published in: 2023
Publisher: Research Square Platform LLC
DOI: 10.21203/rs.3.rs-3307605/v1

An example Machine Learning Survival Workflow

Author(s): Zobolas, John
Published in: Issue 1, 2022
Publisher: Zenodo
DOI: 10.5281/zenodo.8060668

Conference proceedings (1)

Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas.

Author(s): Vendittelli, Pierpaolo; Smeets, Esther M. M.; Litjens, Geert
Published in: Proceedings of the SPIE, Volume 12039, 2022
Publisher: SPIE
DOI: 10.1117/12.2611542