Saisei PRIN Project

• Post by: bardini
• January 24, 2024
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Saisei – Multi-Scale Protocols Generation for Intelligent Biofabrication is a PRIN 2022 project funded by the Italian Ministry for Universities and Research (MUR).

The Saisei – Multi-Scale Protocols Generation for Intelligent Biofabrication Project is an ongoing 24 months-long project funded by the Italian Ministry for Universities and Research (MUR) under the PRIN 2022 program (D.D.104 -02/02/2022). The Project focuses on developing computational tools to aid biofabrication in the fabrication of in vitro models for basic research, and in the biofabrication of regenerative medicine products. Project activities started from the cultūrā PoC LIFTT Project and the Cultura Regenerating Systems PoC-OFF Project results. In fact, this project continues the cultūrā technology transfer initiative in the Intelligent Biofabrication research line at SMILIES, providing the in-vitro validation of generated protocols. The objective is the development and application of the Saisei Protocol Generator (SPG) to the fabrication of static and dynamic co-culture of endothelial and mesenchymal cells to model the bone formation process.

Key objectives included:

1. SPG Computational Architecture Development. Expansion of the existing framework to interface with robust simulation frameworks (such as PhysiBoSS 2.0) and implementation of multiple optimization approaches within the framework.
2. Mathematical modeling of use cases. Definition of mathematical models of the static and dynamic co-cultures and their validation in vitro and implementation of the models in the selected simulation framework.
3. In-Silico Validation of SPG. Validating the SPG protocol generation through simulations on the co-culture use cases simulation models derived from and validated against existing literature.
4. In-Vitro Validation of SPG. Validating the SPG protocol generation through experimental campaigns.

In conclusion, the Saisei project will provide the wet lab validation of the SPG protocol generation.

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Saisei PRIN Project details

Duration: from 2023 to 2025

Coordinators: Prof. Stefano Di Carlo and Dr. Roberta Bardini.

Project team: Riccardo Smeriglio.

People involved:

• Polytechnic of Turin
  • Department of Control and Computer Engineering (DAUIN)
    • Prof. Stefano Di Carlo – SMILIES Research Group
    • Dr. Roberta Bardini – SMILIES Research Group
    • Riccardo Smeriglio – SMILIES Research Group
  • Department of Mathematical Sciences (DISMA)
    • Prof. Tommaso Lorenzi
    • Dr. Nadia Loy
• University of Turin
  • Department of Life Sciences and Systems Biology
    • Prof. Luca Munaron – Cellular and Molecular Angiogenesis Lab
    • Dr. Giorgia Chinigò – Cellular and Molecular Angiogenesis Lab
• University of Catanzaro
  • Prof. Gionata Fragomeni
• University of Calabria
  • Prof. Gerardo Catapano
  • Prof. Luigi De Napoli

Funded by: Ministry for Universities and Research (MUR).

Publications

• Castrignanò, A., Bardini, R., Savino, A., & Di Carlo, S. (2024). A methodology combining reinforcement learning and simulation to optimize the in silico culture of epithelial sheets. Journal of Computational Science, 102226. https://doi.org/10.1016/j.jocs.2024.102226
• Bardini, R., & Di Carlo, S. (2024). Computational methods for biofabrication in tissue engineering and regenerative medicine-a literature review. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2023.12.035
• Giannantoni, L., Bardini, R., & Di Carlo, S. (2022). A Methodology for Co-simulation-Based Optimization of Biofabrication Protocols. In Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO) 2022 (pp. 179-192). Gran Canaria. https://doi.org/10.1007/978-3-031-07802-6_16 

Patents

• Italian Patent No. 102020000016987: Bardini Roberta, Stefano Di Carlo, Alfredo Benso, Gianfranco Politano, Metodo computerizzato per generare protocolli di coltura per bio-manufacturing. Filing date: 13/07/2020. Grant date: 24/11/2022.
• Italian Patent No. 1020190000009969: Bardini Roberta, Stefano Di Carlo, Alfredo Benso, Gianfranco Politano, Metodo di simulazione via computer dell’ontogenesi di un sistema biologico e, opzionalmente, di generazione di un protocollo di coltura. Filing date: 24/06/2019. Grant date: 13/7/2021.