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Personalised Image-based Computational Modelling Framework to Forecast Prostate Cancer

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Publications

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, 01480731, 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, 00189294, 2022, Page(s) in press, ISSN 0018-9294
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbme.2022.3168402

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, 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, 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, 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, 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, 20726694, 2021, Page(s) 3008, ISSN 2072-6694
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13123008

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, 00652156, 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