Personalised Image-based Computational Modelling Framework to Forecast Prostate Cancer

Project Information

PICModForPCa

Grant agreement ID: 838786

DOI

10.3030/838786

Project closed

EC signature date 20 March 2019

Start date 1 September 2020

End date 31 August 2023

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 251 002,56

EU contribution

€ 251 002,56

Coordinated by

UNIVERSITA DEGLI STUDI DI PAVIA
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 (10)

Data-Driven Simulation of Fisher–Kolmogorov Tumor Growth Models Using Dynamic Mode Decomposition

Author(s): A. Viguerie, M. Grave, G. Barros, G. Lorenzo, A. Reali, A.L.G.A. Coutinho
Published in: Journal of Biomechanical Engineering, Issue 144(12), 2022, Page(s) 121001, ISSN 0148-0731
Publisher: ASME
DOI: 10.1115/1.4054925

Towards patient-specific optimization of neoadjuvant treatment protocols for breast cancer based on image-guided fluid dynamics

Author(s): C. Wu, D.A. Hormuth II, G. Lorenzo, A.M. Jarrett, F. Pineda, F.M. Howard, G.S. Karczmar, T.E. Yankeelov
Published in: IEEE Transactions on Biomedical Engineering, Issue 00189294, 2022, Page(s) in press, ISSN 0018-9294
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbme.2022.3168402

A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data

Author(s): Guillermo Lorenzo, Angela M. Jarrett, Christian T. Meyer, Julie C. DiCarlo, John Virostko, Vito Quaranta, Darren R. Tyson, Thomas E. Yankeelov
Published in: Engineering with Computers, Issue 1, 2023, Page(s) 1-31, ISSN 0177-0667
Publisher: Springer Verlag
DOI: 10.1007/s00366-023-01873-0

Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology

Author(s): C. Wu, G. Lorenzo, D.A. Hormuth II, E.A.B.F. Lima, K.P. Slavkova, J.C. DiCarlo, J. Virotsko, C.M. Phillips, D. Patt, C. Chung, T.E. Yankeelov
Published in: Biophysics Reviews, Issue 26884089, 2022, Page(s) 021304, ISSN 2688-4089
Publisher: AIP Publishing LLC
DOI: 10.1063/5.0086789

Math, magnets, and medicine: enabling personalized oncology

Author(s): D.A. Hormuth, A.M. Jarrett, G. Lorenzo, E.A.B.F. Lima, C. Wu, C. Chung, D. Patt, T.E. Yankeelov
Published in: Expert Review of Precision Medicine and Drug Development, Issue 23808993, 2021, Page(s) 79-81, ISSN 2380-8993
Publisher: Taylor and Francis
DOI: 10.1080/23808993.2021.1878023

Patient-specific forecasting of post-radiotherapy prostate-specific antigen kinetics enables early prediction of biochemical relapse

Author(s): G. Lorenzo, N. di Muzio, C.L. Deantoni, C. Cozzarini, A. Fodor, A. Briganti, F. Montorsi, V.M. Perez-Garcia, H. Gomez, A. Reali
Published in: iScience, Issue 25890042, 2022, ISSN 2589-0042
Publisher: Elsevier
DOI: 10.1016/j.isci.2022.105430

Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin

Author(s): E.Y. Yang, G.R. Howard, A. Brock, T.E. Yankeelov, G. Lorenzo
Published in: Frontiers in Molecular Biosciences, Issue 2296889X, 2022, Page(s) 972146, ISSN 2296-889X
Publisher: Frontiers
DOI: 10.3389/fmolb.2022.972146

Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data

Author(s): D.A. Hormuth II, C.M. Phillips, C. Wu, E.A.B.F. Lima, G. Lorenzo, P.K. Jha, A.M. Jarrett, J.T. Oden, T.E. Yankeelov
Published in: Cancers, Issue 20726694, 2021, Page(s) 3008, ISSN 2072-6694
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13123008

Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas

Author(s): Anirban Chaudhuri, Graham PAsh, David A. Hormuth II, Guillermo Lorenzo, Michael Kapteyn, Chengyue Wu, Ernesto A. Lima, Thomas E. Yankeelov, Karen Willcox
Published in: Frontiers in Artificial Intelligence, Issue 6, 2023, Page(s) 1222612, ISSN 2624-8212
Publisher: Frontiers
DOI: 10.3389/frai.2023.1222612

Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States

Author(s): Orhun O. Davarci; Emily Y. Yang; Alexander Viguerie; Thomas E. Yankeelov; Guillermo Lorenzo
Published in: Engineering with Computers, Issue 1, 2023, Page(s) 1-25, ISSN 0177-0667
Publisher: Springer Verlag
DOI: 10.1007/s00366-023-01816-9

Book chapters (3)

Oncology and mechanics: Landmark studies and promising clinical applications

Author(s): S. Urcun, G. Lorenzo, D. Baroli, P.Y. Rohan, G. Sciumè, W. Skalli, V. Lubrano, S.P.A. Bordas
Published in: Advances in Applied Mechanics, Issue in press, 2022, Page(s) in press, ISSN 0065-2156
Publisher: Elsevier
DOI: 10.1016/bs.aams.2022.05.003

Chapter 25 - Emerging techniques in breast MRI

Author(s): A.S. Kazerouni, A.N. Dula, A.M. Jarrett, G. Lorenzo, J.A. Weis, J.A. Bankson, E.Y. Chekmenev, F. Pineda, G.S. Karczmar, T.E. Yankeelov
Published in: Breast MRI: State of the Art and Future Directions, 2022, Page(s) 503-531, ISBN 9780128227497
Publisher: Elsevier
DOI: 10.1016/b978-0-12-822729-9.00022-9

Quantitative in vivo imaging to enable tumor forecasting and treatment optimization

Author(s): G. Lorenzo, D.A. Hormuth II, A.M. Jarrett, E.A.B.F. Lima, S. Subramanian, G. Biros, J.T. Oden, T.J.R. Hughes, T.E. Yankeelov
Published in: Cancer, Complexity, Computation, 2022, Page(s) 55-97, ISBN 978-3-031-04378-9
Publisher: Springer
DOI: 10.1007/978-3-031-04379-6_3