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

Project Information

NADIR

Grant agreement ID: 101114631

DOI

10.3030/101114631

EC signature date 15 December 2023

Start date 1 January 2024

End date 31 December 2028

Funded under

• European Research Council (ERC)

Total cost

€ 1 498 750,00

EU contribution

€ 1 498 750,00

Coordinated by

TECHNISCHE UNIVERSITAET DRESDEN
Germany

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 .

Publications

Peer reviewed articles (8)

Medical large language models are susceptible to targeted misinformation attacks

Author(s): 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
Published in: npj Digital Medicine, Issue 7, 2024, ISSN 2398-6352
Publisher: 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

Author(s): James A. Brooks, Michael Kallenbach, Iuliana-Pompilia Radu, Annalisa Berzigotti, Christoph F. Dietrich, Jakob N. Kather, Tom Luedde, Tobias P. Seraphin
Published in: Digestion, Issue 106, 2024, ISSN 0012-2823
Publisher: S. Karger AG
DOI: 10.1159/000541540

The age of foundation models

Author(s): Jana Lipkova, Jakob Nikolas Kather
Published in: Nature Reviews Clinical Oncology, Issue 21, 2024, ISSN 1759-4774
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41571-024-00941-8

Artificial intelligence-based biomarkers for treatment decisions in oncology

Author(s): Marta Ligero, Omar S.M. El Nahhas, Mihaela Aldea, Jakob Nikolas Kather
Published in: Trends in Cancer, Issue 11, 2025, ISSN 2405-8033
Publisher: Elsevier BV
DOI: 10.1016/J.TRECAN.2024.12.001

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

Author(s): Isabella Catharina Wiest, Falk Gerrik Verhees, Dyke Ferber, Jiefu Zhu, Michael Bauer, Ute Lewitzka, Andrea Pfennig, Pavol Mikolas, Jakob Nikolas Kather
Published in: The British Journal of Psychiatry, Issue 225, 2024, ISSN 0007-1250
Publisher: Royal College of Psychiatrists
DOI: 10.1192/BJP.2024.134

Artificial intelligence-based biomarkers for treatment decisions in oncology

Author(s): Marta Ligero, Omar S.M. El Nahhas, Mihaela Aldea, Jakob Nikolas Kather
Published in: Trends in Cancer, Issue 11, 2025, ISSN 2405-8033
Publisher: Elsevier BV
DOI: 10.1016/J.TRECAN.2024.12.001

Large language models as a diagnostic support tool in neuropathology

Author(s): Katherine J Hewitt, Isabella C Wiest, Zunamys I Carrero, Laura Bejan, Thomas O Millner, Sebastian Brandner, Jakob Nikolas Kather
Published in: The Journal of Pathology: Clinical Research, Issue 10, 2024, ISSN 2056-4538
Publisher: Wiley
DOI: 10.1002/2056-4538.70009

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

Author(s): Jakob Nikolas Kather, Dyke Ferber, Isabella C. Wiest, Stephen Gilbert, Daniel Truhn
Published in: Nature Medicine, Issue 30, 2024, ISSN 1078-8956
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41591-024-03199-W