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

Project Information

ITHACA

Grant agreement ID: 883172

DOI 10.3030/883172

Project closed

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

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 (5)

Beyond 2D cell cultures: how 3D models are changing the <i>in vitro</i> study of ovarian cancer and how to make the most of them

Author(s): Marilisa Cortesi, Kristina Warton, Caroline E. Ford
Published in: PeerJ, Issue 12, 2024, Page(s) e17603, ISSN 2167-8359
Publisher: PeerJ
DOI: 10.7717/peerj.17603

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

Author(s): Marilisa Cortesi, Dongli Liu, Christine Yee, Deborah J. Marsh, Caroline E. Ford
Published in: Scientific Reports, Issue 14, 2024, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-023-50403-x

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

Driving cell response through deep learning, a study in simulated 3D cell cultures

Author(s): Marilisa Cortesi, Emanuele Giordano
Published in: Heliyon, Issue 10, 2024, Page(s) e29395, ISSN 2405-8440
Publisher: Cell Press
DOI: 10.1016/j.heliyon.2024.e29395

Accurate Identification of Cancer Cells in Complex Pre‐Clinical Models Using a Deep‐Learning Neural Network: A Transfection‐Free Approach

Author(s): Marilisa Cortesi, Dongli Liu, Elyse Powell, Ellen Barlow, Kristina Warton, Caroline E. Ford
Published in: Advanced Biology, 2024, ISSN 2701-0198
Publisher: Wiley
DOI: 10.1002/adbi.202400034

Other (2)

A novel approach for the quantification of single-cell adhesion dynamics from microscopy images

Author(s): Marilisa Cortesi, Jingjing Li, Dongli Liu, Tianruo Guo, Socrates Dokos, Kristina Warton, Caroline E. Ford
Published in: biorXiv, 2024
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/2024.10.08.616409

Development and validation of a computational tool to predict treatment outcomes in cells from High-Grade Serous Ovarian Cancer patients

Author(s): Marilisa Cortesi, Dongli Liu, Elyse Powell, Ellen Barlow, Kristina Warton, Emanuele Giordano, Caroline E. Ford
Published in: biorXiv, 2024
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/2024.10.02.616212