Empowering microfluidic-assisted bioprinting with artificial intelligence tools: towards an atlas for modelling in vitro human biology

About the project

In this project we are aiming at developing a data-driven, high-throughput workflow – referred in jargon as blueprint – for manufacturing the next generation of in vitro tissue models. From a technical point of view, the proposed platform will enable to scan and quantitatively characterized a much larger set of experimental conditions compared to currently available systems. Notably, we are aiming at developing blueprints for a specific human tissue – namely the skeletal muscle tissue – to obtain i) the highest tissue functionality and scalability potential, and ii) prioritize the best cost-effective experimental conditions. The project will be implemented using state-of-the-art technologies such as microfluidics, 3D biofabrication and machine-learning. The core scientific objectives of the project are i) the progress towards a deeper understanding and control of cellular dynamic processes involved in the manufacturing of artificial tissues and ii) the generation of a developmental atlas of artificial muscle morphogenesis in vitro. We believe that the outcome of the proposed project may have the mid- to long-term significant social and economic impact in various fields ranging from healthcare – with the development of new treatments for SM-related diseases – to food industry and environment protection – through the more sustainable production of meat.

Publications

• Biofabrication of Skeletal Muscle Tissue and Its Interfaces

  Biofabrication in Regenerative Medicine (Stem Cell Biology and Regenerative Medicine, vol. 1519), Springer • 2026

  DOI / Link