Project information
Machine Learning in Nanomaterial Biocompatibility Assessment (MILAN)

Cooperation at the level of evaluation of changes in cellular behaviour with respect to their interaction with the environment can be evaluated multiparametrically, from the point of view of the quality of the composition of cellular compartments and at the same time the evaluation of the resulting parameters through a mathematical approach. This project will bring new insight into the field of nanotechnology and nanotoxicology, with the use of newly introduced AFM as a destructive tool for determining cytotoxicity based on influencing the membrane by various treatments. The delivered and implemented mathematical models will support the objectivity of the processed results and make it possible to incorporate a smart evaluation based on artificial intelligence in real time of the actual measurements.