Engineered nanomaterials (NMs) are transforming sectors from medicine to manufacturing, yet their enormous variability poses significant health and environmental risks that conventional risk assessment tools are ill-equipped to handle. CompSafeNano — NanoInformatics Approaches for Safe-by-Design NanoMaterials (GA No. 101008099) — responds to this challenge by developing integrated, universally applicable nanoinformatics models capable of machine learning from limited experimental datasets. Spanning molecular simulations, structure-property AI/ML modelling, toxicogenomics, and toxicity assessment, these in silico tools are designed to be directly usable by industry, especially SMEs and by regulators for risk assessment and decision-making.
CompSafeNano brings together 26 beneficiaries from academia and industry across EU, associated and third countries. Through a robust staff exchange programme and targeted training activities, the project addresses the recognised skills gap in nanoinformatics and big data analytics while establishing an extended safe-by-design paradigm — one that integrates environmental sustainability via life cycle assessment, validated by experimental testing, and linked to existing EU governance platforms including NanoCommons, NanoSolveIT, and RiskGONE.
MNLT’s Role in the project
MNLT Innovations participates in the project’s staff exchange programme by hosting incoming secondees from partner organisations. MNLT also contributes to the project’s Safe by Design case studies and Toxicity Assessment activities, providing valuable Lifecycle Assessment inputs. In line with all consortium partners, MNLT also actively contributes to the project’s communication, dissemination, and training efforts, supporting the wider adoption of CompSafeNano’s tools among industry and regulatory audiences.
The CompSafeNano project has received funding from the European Union’s EXCELLENT SCIENCE – Marie Skłodowska-Curie Actions under Grant Agreement nº 101008099.
SUBJECT
Development of integrated nanoinformatics models and in silico tools for the safe-by-design risk assessment of nanomaterials, directly applicable by industry and regulators.
