Digital Twin Technology to Predict Individual Response to Pharmacological Treatments in Ovarian Cancer

Project Information

ITHACA

Grant agreement ID: 883172

DOI 10.3030/883172

EC signature date 19 May 2020

Start date 1 September 2021

End date 31 August 2024

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 257 209,92

EU contribution € 257 209,92

Coordinated by

ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
Italy

Publications

Peer reviewed articles (1)

A comparative analysis of 2D and 3D experimental data for the identification of the parameters of computational models

Author(s): Cortesi M., Liu D., Yee C., Marsh D., and Ford C
Published in: Scientific Reports, 2023, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-023-42486-3

Other (1)

Driving Cell Response Through Deep Learning, a Study in Simulated 3D Cell Cultures

Author(s): Cortesi, M and Giordano, E
Published in: 2023
Publisher: Elsevier
DOI: 10.2139/ssrn.4569916