From smart polymer bio-coatings to bone-formation-stimulant ceramics, the application of new biomaterials holds great potential to open new avenues to improve life quality, or even save lives. However, the investigation of the interphase between materials and cell response is an immensely large field. The biomaterial discovery studies generate large data libraries of materials, material-cell or material-tissue interactions. Such large data libraries rise the demand for the use of machine learning to describe correlations between material properties and cellular response. We are committed to developing artificial intelligence assisted microfluidic systems that will streamline biomaterials development.