MORE4Neuro

MORE4Neuro is a project funded by the Lombardy Region under the “Collabora & Innova 2024” programme. The lead partner is the University of Milan (Department of Physics and Department of Biomedical and Clinical Sciences “L. Sacco”), together with the IRCCS Fondazione Istituto Neurologico Carlo Besta, and the industrial partners Aivox S.r.l., Moxoff S.r.l., Unordinary S.r.l., and Miocugino S.r.l.s.

MORE4Neuro was established with the ambition to introduce a new generation of systems for advanced neurosurgical simulation. The goal is to build an integrated ecosystem in which realistic physical models, physiological neuromonitoring simulation, immersive virtual and augmented reality environments, and tools for quantitative data acquisition and analysis coexist within a single coherent and interconnected architecture.

The project envisages the creation of high-fidelity anatomical models using hybrid multimaterial manufacturing and the development of tissue-equivalent materials capable of replicating the mechanical behaviour of brain tissues. These models will not be mere static replicas, but active, “sensorised” systems, integrating deformable sensors and dedicated devices for intraoperative neuromonitoring simulation. The ability to reproduce physiological parameters during simulation represents a distinctive feature of the platform, significantly bringing the training experience closer to the real complexity of the surgical act.

Alongside the physical dimension, MORE4Neuro will develop immersive digital environments built from clinical imaging data, usable for anatomical exploration, preoperative planning, and advanced training. The platform will be designed so that the physical and digital dimensions can also be used independently, but its truly innovative character lies in their dynamic connection: manual interaction with the physical model can be synchronised with the virtual representation, generating an integrated, multi-level simulation.

A central aspect will be the ability to acquire, visualise, and analyse data generated during simulations. Mechanical and physiological parameters can be monitored in real time and subsequently processed to evaluate surgical strategies, precision, and risk management, transforming simulation into a quantitative tool for training and continuous improvement.

As a reference clinical case, the project focuses on low-grade gliomas – pathologies in which balancing maximal tumour resection with preservation of neurological functions is essential. These scenarios represent an emblematic testbed for a platform that integrates personalised anatomy, neuromonitoring, and strategic planning, while maintaining a modular structure extendable to other complex neurosurgical procedures.

The expected impact is significant at multiple levels: improved training for young neurosurgeons through realistic and measurable training, advanced preoperative planning support, benefits for patient safety and the effectiveness of surgical teams, as well as a significant contribution to technological innovation in the MedTech sector and to the strengthening of the regional healthcare system.