Researchers at the University of California, Davis have developed an algorithm for designing and identifying complex structures having custom release profiles for controlled drug delivery.
This technology introduces a novel topology optimization algorithm capable of designing objects that can release drugs at a controlled rate over time. Unlike previous methods that only addressed the creation of simple layered blocks, this algorithm allows for the design of complex, freeform geometries without the need for multi-material lamination. These geometries are optimized for direct 3D printing, leveraging geometric insights and a novel formulation based on the Eikonal equation to precisely control the dissolution dynamics of the object in a solvent, achieving desired release behaviors. This technology was co-developed with Max-Planck-Innovation (MPI). MPI’s information related to this technology can be found at:
additive manufacturing (3D printing), gradient-based optimization algorithms, inverse design, additive-manufacturing penalty function, optimal design, release profile, STL files, three-dimensional design, voxel-based design, zero-order release curve