We have progressed beyond the state of the art by successfully incorporating different disciplines into a common goal, in informed understanding between technological abilities and biomedical needs. The overall system performance was specified by biomedical experts within immunotherapy and tissue engineering, and the solution have been formulated by mathematical modelling, material science, 3D printing expertise and chemistry. Through this integrated collaboration, we believe our solutions surpass existing solutions. In the second period we will continue working as coordinated subdisciplines and test our solutions in real world model systems.
At the higher level we address one of the major health issues of todays, cancer, which kills affect 20million people yearly and still results in premature death in half of the patients. Without major breakthroughs, cancer will continue posing significant threats to human health in the coming decades. Our solution can become a robust solution for cellular immunotherapy of cancers. With more than 2000 T cell therapies in development in more than 200 companies, we aim for that our solution will become an integral part of these therapeutic endeavors.
At the level of impact for the participating groups, progress have also benefited greatly from the collaboration between disciplines. Mathematical modeling of flow of cells in a scaffold geometry at the microfluidic level has resulted in new tools to understand biphasic flow, important in many other fields beyond this project. The requirements of the specified scaffold material as defined by us have led to development trajectories ameliorating problems with current materials and surfaces. And our user-oriented system design will aid in easing the implementation of the approach to other initiatives in immunotherapy R&D, cell therapy R&D and ultimately to clinical practice. The bioinformatic project parts will enable an unprecedented level of understanding of the physiological processes in cancer rejection and better vision of the various cell subtypes involved in the process.
