Nanosafer employs a combination of data analysis, predictive modeling, and risk assessment methodologies. It gathers data on the physicochemical properties of nanomaterials, such as size, shape, chemical composition, and surface characteristics. By integrating this data with exposure scenarios and potential biological interactions, Nanosafer can predict the toxicological impact of nanomaterials.
