The Sector leverages high-performance computational modelling and machine learning to advance research in biomedical engineering and materials science.

Key innovations include AI-driven medical imaging, with the development of neural networks for automatic detection and segmentation of pathologies. Digital patients for virtual clinical trials are synergistically created with high-fidelity in silico models and generative AI.

In the field of precision medicine, the Sector designs magnetic nanoparticles for hyperthermia applications, via micromagnetic modelling and in silico experiments, bridging the gap between material design and therapeutic outcome. Nano/microsensors are engineered for low magnetic signals detection, essential for metrological applications and targeted diagnostics.

Furthermore, the Sector develops digital twins simulating contaminant transfer in living systems, and exploits machine learning for their quantification, in view of reliable toxicological risk assessment.