AI and Computational Methods for unlocking Intelligent Biofabrication 

At SMILIES, we are at the forefront of intelligent biofabrication, applying intelligent automation principles in the modeling, design, and optimization of biofabrication processes. 

Biofabrication involves the automated generation of biologically functional products with the structural organization of living cells, bioactive molecules, and biomaterials, followed by tissue maturation processes. In this field, the process is as crucial as the product, and multi-technology biofabrication plays a vital role by integrating existing technologies to optimize workflows, enhance execution, and improve product quality through automation and digitalization. 

In the fields of tissue engineering and regenerative medicine (TERM), the primary challenge is to produce biofabrication products that are truly biomimetic, replicating the structural and functional features of their in vivo counterparts. This requires seamless integration of biological and technological aspects within biofabrication processes. At SMILIES, we are dedicated to developing innovative solutions that harness the power of computational modeling, optimization, and AI to enhance multi-technology biofabrication.

Interdisciplinary collaboration is at the heart of SMILIES, where we develop computational methods to support three main pillars: intrinsic flexibility, multi-component modeling, and multi-stage modeling. We focus on creating accurate models of both inorganic and biological components, which are essential for predicting cellular behavior during fabrication and maturation and optimizing process designs through a balance of holistic and hypothesis-driven approaches for comprehensive modeling and optimization. While accurate models of biology and extensive design space exploration are crucial for developing intelligent biofabrication methods, they often come with high computational costs. To work towards the computational feasibility of our approaches, we work with abstraction tuning, computational scalability and heuristic approaches for our solutions.