Cortesi, Marilisa; Liu, Dongli; Powell, Elyse; Barlow, Ellen; Warton, Kristina; Giordano, Emanuele; Ford, Caroline E., Development and validation of a computational tool to predict treatment outcomes in cells from high‐grade serous ovarian cancer patients, «BIOENGINEERING & TRANSLATIONAL MEDICINE», 2025, e70082, pp. 1 - 21 [articolo]
Cortesi, Marilisa; Liu, Dongli; Powell, Elyse; Barlow, Ellen; Warton, Kristina; Ford, Caroline E., Accurate Identification of Cancer Cells in Complex Pre‐Clinical Models Using a Deep‐Learning Neural Network: A Transfection‐Free Approach, «ADVANCED BIOLOGY», 2024, 8, pp. 1 - 13 [articolo]Open Access
Lucciardi, M.; Ramilli, R.; Lovecchio, J.; Cortesi, M.; Crescentini, M., An Electrical Impedance Tomography Platform for Tissue Engineering, in: Conference Record - IEEE Instrumentation and Measurement Technology Conference, Institute of Electrical and Electronics Engineers Inc., «CONFERENCE PROCEEDINGS - IEEE INSTRUMENTATION/MEASUREMENT TECHNOLOGY CONFERENCE», 2024, 1824, pp. 01 - 06 (atti di: 2024 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2024, Glasgow, Scotland, 2024) [Contributo in Atti di convegno]
Cortesi, M.; Warton, K.; Ford, C. E., Beyond 2D cell cultures: how 3D models are changing the in vitro study of ovarian cancer and how to make the most of them, «PEERJ», 2024, 12, Article number: e17603, pp. 1 - 28 [articolo]Open Access
Werner, Bonnita; Powell, Elyse; Duggan, Jennifer; Cortesi, Marilisa; Lee, Yeh Chen; Arora, Vivek; Athavale, Ramanand; Dean, Michael; Warton, Kristina; Ford, Caroline E., Cell‐free DNA from ascites identifies clinically relevant variants and tumour evolution in patients with advanced ovarian cancer, «MOLECULAR ONCOLOGY», 2024, 18, pp. 2668 - 2683 [articolo]Open Access
Cortesi, Marilisa; Giordano, Emanuele Domenico, Driving cell response through deep learning, a study in simulated 3D cell cultures, «HELIYON», 2024, 10, Article number: e29395, pp. 1 - 10 [articolo]Open Access
Cortesi, Marilisa; Liu, Dongli; Yee, Christine; Marsh, Deborah J; Ford, Caroline E, A comparative analysis of 2D and 3D experimental data for the identification of the parameters of computational models, «SCIENTIFIC REPORTS», 2023, 13, Article number: 15769, pp. 1 - 16 [articolo]Open Access
Lovecchio, J.; Betti, V.; Cortesi, M.; Ravagli, E.; Severi, S.; Giordano, E., Design of a custom-made device for real-time optical measurement of differential mineral concentrations in three-dimensional scaffolds for bone tissue engineering, «ROYAL SOCIETY OPEN SCIENCE», 2022, 9, Article number: 210791, pp. 1 - 10 [articolo]Open Access
Lovecchio, Joseph; Cortesi, Marilisa; Zani, Marco; Govoni, Marco; Dallari, Dante; Giordano, Emanuele, Fiber Thickness and Porosity Control in a Biopolymer Scaffold 3D Printed through a Converted Commercial FDM Device, «MATERIALS», 2022, 15, Article number: 2394, pp. 1 - 10 [articolo]Open Access
Cortesi, Marilisa; Giordano, Emanuele, Non-destructive monitoring of 3D cell cultures: new technologies and applications, «PEERJ», 2022, 10, Article number: 13338, pp. 1 - 32 [articolo]Open Access
Govoni M.; Muscari C.; Bonafe F.; Morselli P.G.; Cortesi M.; Dallari D.; Giordano E., A brief very-low oxygen tension regimen is sufficient for the early chondrogenic commitment of human adipose-derived mesenchymal stem cells, «ADVANCES IN MEDICAL SCIENCES», 2021, 66, pp. 98 - 104 [articolo]
Cortesi M.; Liverani C.; Mercatali L.; Ibrahim T.; Giordano E., Development and validation of an in-silico tool for the study of therapeutic agents in 3D cell cultures, «COMPUTERS IN BIOLOGY AND MEDICINE», 2021, 130, Article number: 104211, pp. 104211 - 104211 [articolo]
Cortesi, M.; Samore, A.; Lovecchio, J.; Ramilli, R.; Tartagni, M.; Giordano, E.; Crescentini, M., Development of an electrical impedance tomography set-up for the quantification of mineralization in biopolymer scaffolds, «PHYSIOLOGICAL MEASUREMENT», 2021, 42, Article number: 064001, pp. 1 - 11 [articolo]Open Access
Pasini A.; Lovecchio J.; Cortesi M.; Liverani C.; Spadazzi C.; Mercatali L.; Ibrahim T.; Giordano E., Perfusion Flow Enhances Viability and Migratory Phenotype in 3D-Cultured Breast Cancer Cells, «ANNALS OF BIOMEDICAL ENGINEERING», 2021, 49, pp. 2103 - 2113 [articolo]Open Access
Marilisa Cortesi, Chiara Liverani, Laura Mercatali, Toni Ibrahim, Emanuele Giordano, An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment, «SCIENTIFIC REPORTS», 2020, 10, Article number: 12976, pp. 1 - 14 [articolo]Open Access
