12–17 Jul 2026
University of Graz
Europe/Vienna timezone

Deterministic Models to Describe and Analyse Tumour-Immune Interactions and Immunotherapy

Not scheduled
20m
University of Graz

University of Graz

Speakers

Christian Tayou-Fotso (Université Côte d’Azur) Federica Padovano (LJLL) Giulia Chiari (University of Oxford / BCAM (Basque Center for Applied Mathematics)) Matteo Italia (University of Castilla-La Mancha)

Description

Tumour growth arises from a complex interplay between cancer cells and their microenvironment, often facilitated by failure of the immune system to effectively control malignant cells. Over the past decades, several immunotherapeutic approaches have been developed to enhance the anti-tumour immune response by harnessing the body’s natural immune defences to fight cancer. However, the design and implementation of effective immunotherapeutic strategies remain challenging.

Mathematical models, and in particular deterministic models, provide mechanistic insights into tumour–immune interactions and enable the prediction of treatment outcomes. In this session we aim to bring together researchers who develop and study, both analytically and numerically, deterministic continuum models of tumour–immune interactions and immunotherapy. The presentations will range from the description of tumour–immune dynamics within the tumour-microenvironment to applications involving immunotherapeutic treatments, either alone or in combination with other therapies. This symposium will offer an opportunity to discuss how existing deterministic models can be improved to better understand, predict, and ultimately manipulate the immune response to cancer.

Author

Emma Leschiera (De Vinci Research Center)

Co-author

Federica Padovano (LJLL)

Presentation materials

There are no materials yet.