New directions for deep learning in cancer research through concept explainability and virtual experimentation.

Información del proyecto

NADIR

Identificador del acuerdo de subvención: 101114631

DOI

10.3030/101114631

Fecha de la firma de la CE 15 Diciembre 2023

Fecha de inicio 1 Enero 2024

Fecha de finalización 31 Diciembre 2028

Financiado con arreglo a

• European Research Council (ERC)

Coste total

€ 1 498 750,00

Aportación de la UE

€ 1 498 750,00

Coordinado por

TECHNISCHE UNIVERSITAET DRESDEN
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Peer reviewed articles (29)

Weakly Supervised Deep Learning Can Analyze Focal Liver Lesions in Contrast-Enhanced Ultrasound

Autores: Adil Oezsoy, James Alexander Brooks, Marko van Treeck, Yvonne Doerffel, Ulrike Morgera, Jens Berger, Marco Gustav, Oliver Lester Saldanha, Tom Luedde, Jakob Nikolas Kather, Tobias Paul Seraphin, Michael Kallenbach
Publicado en: Digestion, Edición 106, 2025, ISSN 0012-2823
Editor: S. Karger AG
DOI: 10.1159/000545098

Artificial intelligence predicts outcome-related molecular profiles and vascular invasion in hepatocellular carcinoma

Autores: Tobias Paul Seraphin, Agavni Mesropian, Laura Žigutytė, James Brooks, Ezequiel Mauro, Albert Gris-Oliver, Roser Pinyol, Carla Montironi, Ugne Balaseviciute, Marta Piqué-Gili, Júlia Huguet-Pradell, Marko van Treeck, Michael Kallenbach, Anne Theres Schneider, Christoph Roderburg, Jakob Nikolas Kather, Tom Luedde, Josep M. Llovet
Publicado en: JHEP Reports, Edición 7, 2025, ISSN 2589-5559
Editor: Elsevier BV
DOI: 10.1016/J.JHEPR.2025.101592

HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer

Autores: Chiara M. L. Loeffler, Hideaki Bando, Srividhya Sainath, Hannah Sophie Muti, Xiaofeng Jiang, Marko van Treeck, Nic Gabriel Reitsam, Zunamys I. Carrero, Asier Rabasco Meneghetti, Tomomi Nishikawa, Toshihiro Misumi, Saori Mishima, Daisuke Kotani, Hiroya Taniguchi, Ichiro Takemasa, Takeshi Kato, Eiji Oki, Yuan Tanwei, Wankhede Durgesh, Sebastian Foersch, Hermann Brenner, Michael Hoffmeister, Yoshiaki Nakamura, Takayuki Yoshino, Jakob Nikolas Kather
Publicado en: Nature Communications, Edición 16, 2025, ISSN 2041-1723
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41467-025-62910-8

Histopathological evaluation of abdominal aortic aneurysms with deep learning

Autores: Fiona R. Kolbinger, Omar S. M. El Nahhas, Maja Carina Nackenhorst, Christine Brostjan, Wolf Eilenberg, Albert Busch, Jakob Nikolas Kather
Publicado en: Diagnostic Pathology, Edición 20, 2025, ISSN 1746-1596
Editor: Springer Science and Business Media LLC
DOI: 10.1186/S13000-025-01684-5

If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck

Autores: Max Ostermann, Oscar Freyer, F. Gerrik Verhees, Jakob Nikolas Kather, Stephen Gilbert
Publicado en: npj Digital Medicine, Edición 8, 2025, ISSN 2398-6352
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41746-025-02175-Z

Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024

Autores: Laura Žigutytė, Thomas Sorz-Nechay, Jan Clusmann, Jakob Nikolas Kather
Publicado en: JHEP Reports, Edición 6, 2024, ISSN 2589-5559
Editor: Elsevier BV
DOI: 10.1016/J.JHEPR.2024.101209

Examining human-AI interaction in real-world healthcare beyond the laboratory

Autores: Magdalena Katharina Wekenborg, Stephen Gilbert, Jakob Nikolas Kather
Publicado en: npj Digital Medicine, Edición 8, 2025, ISSN 2398-6352
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41746-025-01559-5

Prompt injection attacks on vision language models in oncology

Autores: Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather
Publicado en: Nature Communications, Edición 16, 2025, ISSN 2041-1723
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41467-024-55631-X

Medical large language models are susceptible to targeted misinformation attacks

Autores: Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Müller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn
Publicado en: npj Digital Medicine, Edición 7, 2024, ISSN 2398-6352
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41746-024-01282-7

Artificial Intelligence for Contrast-Enhanced Ultrasound of the Liver: A Systematic Review

Autores: James A. Brooks, Michael Kallenbach, Iuliana-Pompilia Radu, Annalisa Berzigotti, Christoph F. Dietrich, Jakob N. Kather, Tom Luedde, Tobias P. Seraphin
Publicado en: Digestion, Edición 106, 2024, ISSN 0012-2823
Editor: S. Karger AG
DOI: 10.1159/000541540

The age of foundation models

Autores: Jana Lipkova, Jakob Nikolas Kather
Publicado en: Nature Reviews Clinical Oncology, Edición 21, 2024, ISSN 1759-4774
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41571-024-00941-8

Multimodal histopathologic models stratify hormone receptor-positive early breast cancer

Autores: Kevin M. Boehm, Omar S. M. El Nahhas, Antonio Marra, Michele Waters, Justin Jee, Lior Braunstein, Nikolaus Schultz, Pier Selenica, Hannah Y. Wen, Britta Weigelt, Evan D. Paul, Pavol Cekan, Ramona Erber, Chiara M. L. Loeffler, Elena Guerini-Rocco, Nicola Fusco, Chiara Frascarelli, Eltjona Mane, Elisabetta Munzone, Silvia Dellapasqua, Paola Zagami, Giuseppe Curigliano, Pedram Razavi, Jorge S. Reis-Filho, Fresia Pareja, Sarat Chandarlapaty, Sohrab P. Shah, Jakob Nikolas Kather
Publicado en: Nature Communications, Edición 16, 2025, ISSN 2041-1723
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41467-025-57283-X

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer

Autores: Gesa Mittmann, Sara Laiouar-Pedari, Hendrik A. Mehrtens, Sarah Haggenmüller, Tabea-Clara Bucher, Tirtha Chanda, Nadine T. Gaisa, Mathias Wagner, Gilbert Georg Klamminger, Tilman T. Rau, Christina Neppl, Eva Maria Compérat, Andreas Gocht, Monika Haemmerle, Niels J. Rupp, Jula Westhoff, Irene Krücken, Maximilian Seidl, Christian M. Schürch, Marcus Bauer, Wiebke Solass, Yu Chun Tam, Florian Weber, Rainer Grobholz, Jaroslaw Augustyniak, Thomas Kalinski, Christian Hörner, Kirsten D. Mertz, Constanze Döring, Andreas Erbersdobler, Gabriele Deubler, Felix Bremmer, Ulrich Sommer, Michael Brodhun, Jon Griffin, Maria Sarah L. Lenon, Kiril Trpkov, Liang Cheng, Fei Chen, Angelique Levi, Guoping Cai, Tri Q. Nguyen, Ali Amin, Alessia Cimadamore, Ahmed Shabaik, Varsha Manucha, Nazeel Ahmad, Nidia Messias, Francesca Sanguedolce, Diana Taheri, Ezra Baraban, Liwei Jia, Rajal B. Shah, Farshid Siadat, Nicole Swarbrick, Kyung Park, Oudai Hassan, Siamak Sakhaie, Michelle R. Downes, Hiroshi Miyamoto, Sean R. Williamson, Tim Holland-Letz, Christoph Wies, Carolin V. Schneider, Jakob Nikolas Kather, Yuri Tolkach, Titus J. Brinker
Publicado en: Nature Communications, Edición 16, 2025, ISSN 2041-1723
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41467-025-64712-4

Artificial intelligence-based biomarkers for treatment decisions in oncology

Autores: Marta Ligero, Omar S.M. El Nahhas, Mihaela Aldea, Jakob Nikolas Kather
Publicado en: Trends in Cancer, Edición 11, 2025, ISSN 2405-8033
Editor: Elsevier BV
DOI: 10.1016/J.TRECAN.2024.12.001

Privacy-preserving large language models for structured medical information retrieval

Autores: Isabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, Zunamys I. Carrero, Daniel Paech, Jens Kleesiek, Matthias P. Ebert, Daniel Truhn, Jakob Nikolas Kather
Publicado en: npj Digital Medicine, Edición 7, 2024, ISSN 2398-6352
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41746-024-01233-2

Deep learning in cancer genomics and histopathology

Autores: Michaela Unger, Jakob Nikolas Kather
Publicado en: Genome Medicine, Edición 16, 2024, ISSN 1756-994X
Editor: Springer Science and Business Media LLC
DOI: 10.1186/S13073-024-01315-6

Detection of suicidality from medical text using privacy-preserving large language models

Autores: Isabella Catharina Wiest, Falk Gerrik Verhees, Dyke Ferber, Jiefu Zhu, Michael Bauer, Ute Lewitzka, Andrea Pfennig, Pavol Mikolas, Jakob Nikolas Kather
Publicado en: The British Journal of Psychiatry, Edición 225, 2024, ISSN 0007-1250
Editor: Royal College of Psychiatrists
DOI: 10.1192/BJP.2024.134

End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning

Autores: Asier Rabasco Meneghetti, Marta Ligero Hernández, Jens-Peter Kühn, Steffen Löck, Zunamys Itzell Carrero, Raquel Perez-Lopez, Keno K. Bressem, Titus J. Brinker, Alexander T. Pearson, Daniel Truhn, Sven Nebelung, Jakob Nikolas Kather
Publicado en: BMC Artificial Intelligence, Edición 1, 2025, ISSN 3005-1924
Editor: Springer Science and Business Media LLC
DOI: 10.1186/S44398-025-00003-8

The barriers to uptake of artificial intelligence in hepatology and how to overcome them

Autores: Jan Clusmann, Maria Balaguer-Montero, Octavi Bassegoda, Carolin V. Schneider, Tobias Seraphin, Ellis Paintsil, Tom Luedde, Raquel Perez Lopez, Julien Calderaro, Stephen Gilbert, Thomas Marjot, Ashley Spann, Debbie L. Shawcross, Sabela Lens, Eric Trépo, Jakob Nikolas Kather
Publicado en: Journal of Hepatology, Edición 83, 2025, ISSN 0168-8278
Editor: Elsevier BV
DOI: 10.1016/J.JHEP.2025.07.003

Artificial intelligence-based biomarkers for treatment decisions in oncology

Autores: Marta Ligero, Omar S.M. El Nahhas, Mihaela Aldea, Jakob Nikolas Kather
Publicado en: Trends in Cancer, Edición 11, 2025, ISSN 2405-8033
Editor: Elsevier BV
DOI: 10.1016/J.TRECAN.2024.12.001

Deep learning can predict cardiovascular events from liver imaging

Autores: Gregory Patrick Veldhuizen, Tim Lenz, Didem Cifci, Marko van Treeck, Jan Clusmann, Yazhou Chen, Carolin V. Schneider, Tom Luedde, Peter W. de Leeuw, Ali El-Armouche, Daniel Truhn, Jakob Nikolas Kather
Publicado en: JHEP Reports, Edición 7, 2025, ISSN 2589-5559
Editor: Elsevier BV
DOI: 10.1016/J.JHEPR.2025.101427

Benchmarking foundation models as feature extractors for weakly supervised computational pathology

Autores: Peter Neidlinger, Omar S. M. El Nahhas, Hannah Sophie Muti, Tim Lenz, Michael Hoffmeister, Hermann Brenner, Marko van Treeck, Rupert Langer, Bastian Dislich, Hans Michael Behrens, Christoph Röcken, Sebastian Foersch, Daniel Truhn, Antonio Marra, Oliver Lester Saldanha, Jakob Nikolas Kather
Publicado en: Nature Biomedical Engineering, 2025, ISSN 2157-846X
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41551-025-01516-3

Deep Learning Reveals Liver MRI Features Associated With <i>PNPLA3</i> I148M in Steatotic Liver Disease

Autores: Yazhou Chen, Benjamin P. M. Laevens, Teresa Lemainque, Gustav Anton Müller‐Franzes, Tobias Seibel, Carola Dlugosch, Jan Clusmann, Paul‐Henry Koop, Rongpeng Gong, Yuanyuan Liu, Niharika Jakhar, Feng Cao, Simon Schophaus, Thriveni Basavanapura Raju, Anastasia Artemis Raptis, Felix van Haag, Joel Joy, Rohit Loomba, Luca Valenti, Jakob Nikolas Kather, Titus J. Brinker, Moritz Herzog, Ivan G. Costa, Diego Hernando, Kai Markus Schneider, Daniel Truhn, Carolin V. Schneider
Publicado en: Liver International, Edición 45, 2025, ISSN 1478-3223
Editor: Wiley
DOI: 10.1111/LIV.70164

A software pipeline for medical information extraction with large language models, open source and suitable for oncology

Autores: Isabella Catharina Wiest, Fabian Wolf, Marie-Elisabeth Leßmann, Marko van Treeck, Dyke Ferber, Jiefu Zhu, Heiko Boehme, Keno K. Bressem, Hannes Ulrich, Matthias P. Ebert, Jakob Nikolas Kather
Publicado en: npj Precision Oncology, Edición 9, 2025, ISSN 2397-768X
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41698-025-01103-4

Multimodal analysis of whole slide images in colorectal cancer

Autores: Jitendra Jonnagaddala, Miljana Shulajkovska, Anton Gradišek, Toni Rose Jue, Qifeng Zhou, Yuzhi Guo, Jamil Mahmoud El Chayeb, Ruijiang Li, Jana Lipkova, Jakob Nikolas Kather, Junzhou Huang
Publicado en: npj Digital Medicine, Edición 8, 2025, ISSN 2398-6352
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41746-025-02095-Y

Large language models as a diagnostic support tool in neuropathology

Autores: Katherine J Hewitt, Isabella C Wiest, Zunamys I Carrero, Laura Bejan, Thomas O Millner, Sebastian Brandner, Jakob Nikolas Kather
Publicado en: The Journal of Pathology: Clinical Research, Edición 10, 2024, ISSN 2056-4538
Editor: Wiley
DOI: 10.1002/2056-4538.70009

Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2

Autores: Leo Misera, Sven Nebelung, Zunamys I. Carrero, Keno Bressem, Marta Ligero, Jens-Peter Kühn, Ralf-Thorsten Hoffmann, Daniel Truhn, Jakob Nikolas Kather
Publicado en: BMC Medical Imaging, Edición 26, 2026, ISSN 1471-2342
Editor: Springer Science and Business Media LLC
DOI: 10.1186/S12880-025-02075-4

Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions

Autores: Jean-Paul Bereuter, Mark Enrik Geissler, Anna Klimova, Robert-Patrick Steiner, Kevin Pfeiffer, Fiona R. Kolbinger, Isabella C. Wiest, Hannah Sophie Muti, Jakob Nikolas Kather
Publicado en: Journal of Surgical Education, Edición 82, 2025, ISSN 1931-7204
Editor: Elsevier BV
DOI: 10.1016/J.JSURG.2025.103442

Large language models could make natural language again the universal interface of healthcare

Autores: Jakob Nikolas Kather, Dyke Ferber, Isabella C. Wiest, Stephen Gilbert, Daniel Truhn
Publicado en: Nature Medicine, Edición 30, 2024, ISSN 1078-8956
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41591-024-03199-W