Development of a Intelligent Hybrid Platform for Bone Tissue Regeneration: Biofabrication and Digital-Twin Integration for in vitro 3D Cultures

• Grant number: 24/19786-9
• Support Opportunities: Generation Project Research Grant
• Start date: February 01, 2026
• End date: January 31, 2031
• Field of knowledge: Engineering - Biomedical Engineering - Bioengineering
• Principal Investigator: Larissa Mayra Silva Ribeiro
• Grantee: Larissa Mayra Silva Ribeiro
• Host Institution: Centro de Tecnologia da Informação Renato Archer (CTI). Campinas , SP, Brazil
• City of the host institution: Campinas
• Associated researchers: Andrea Cecilia Dorión Rodas ; Bruna Maria Manzini ; Claudio Yamamoto Morassuti ; Gustavo Henrique de Magalhães Gomes ; Harrson Silva Santana ; Janaina de Andrea Dernowsek ; Jose Luis Davila Sanchez ; Juliana Kelmy Macário Barboza Daguano ; Kaline do Nascimento Ferreira ; Marcelo Augusto Vilas Boas ; Marcília Valéria Guimarães ; Pedro Yoshito Noritomi ; Rodrigo Bonacin ; Serguei Balachov

Abstract

Advances in additive manufacturing associated with bioprinting for generating 3D in vitro models for disease studies and drug delivery have gained significant attention due to the limitations of 2D cell models and ethical concerns associated with the use of animals in clinical research. Physical 3D models, also known as scaffolds, have emerged as a crucial tool for understanding cellular interactions in natural physiological environments, especially regarding bone tissue due to their complex mimetic requirements. Given these considerations, this project aims to develop a 3D platform that integrates the following tools: 1) Artificial Intelligence (AI)/Machine Learning (ML) for optimizing biological processes, 2) Digital Twin technology for precise simulation of physiological conditions, and 3) scaffold-on-a-chip technology to replicate the native functionality of bone tissue, forming an advanced biomanufacturing system that enables the elucidation of various unknowns in the development of tissue therapies. With this platform, it will be possible to study and predict cellular behavior in biomimetic three-dimensional environments both in silico and in vitro, working as an alternative method to the use of animals in clinical experimentation. (AU)