Six innovative entrepreneurial projects from the Department of Electronics, Information and Bioengineering were awarded during the 2023 edition of Switch2Product, the Innovation Challenge organized by the Politecnico di Milano in collaboration with PoliHub - Innovation Park & Startup Accelerator, and Deloitte to support innovative solutions, new technologies and business ideas proposed by students, doctoral students, researchers, faculty and alumni of the university.

In the Health & Med Tech category, Avertis, INSIGHT and SegMentor were the ones to be selected.

Using an artificial intelligence-based solution, Avertis increases mammography screening accuracy, reduces delays and improves patient care. Intelligent triage prioritizes exams, while a user-friendly interface makes it accessible to all types of users. The project, developed during the NECSTCamp experience, was proposed by Valentina Lidoni, MSc student in Biomedical Engineering; Pablo Giaccaglia, MSc student in Computer Engineering; Eleonora D'Arnese, researcher at NECSTLab; Leonardo Breda, MSc student in Mathematical Engineering; and Prof. Marco Santambrogio from the Department of Electronics, Information and Bioengineering.

INSIGHT is an intelligent sensorized endoscope that exploits the potential of artificial intelligence to detect lesions, perform virtual biopsies, and three-dimensional reconstructions: a small revolution in the field of endoscopy! The project, developed at NEARLab, was proposed by Chiara Lena and Luca Carlini, Ph.D. students in Bioengineering, Davide Milesi, a MSc student in Biomedical Engineering, and Prof. Elena De Momi from the Department of Electronics, Information and Bioengineering, in collaboration with alumnus Alessandro Casella (Google), and Marco Spadaccini and Cesare Hassan (Humanitas Research Hospital).

SegMentor is an artificial intelligence-based image segmentation prototype that, through deep learning models and generative applications, can evolve into a diagnostic tool capable of incorporating disease staging and clinical-like explainability. The project was proposed by Prof. Pietro Cerveri of the Department of Electronics, Information and Bioengineering, Matteo Rossi, a postdoctoral researcher at the Department of Electronics, Information and Bioengineering, and Luca Marsilio, a doctoral student in Bioengineering.

In the Industries Transformation category, Neuromorphic Machines, MONIMEDS and YAOSC were selected.

The idea behind Neuronova is that 'traditional' computers are unfit for today's challenges due to their high energy consumption, significant costs, and a heavily cloud-based infrastructure. The solution? Building new brain-inspired computers but different from classical software neural networks because they will be based solely on a hardware-level revolution that aims to bring artificial intelligence to the edge. The project was proposed by Alessandro Milozzi, a student in the Ph.D. program in Information Technology.

MONIMEDS is an innovative market surveillance support system that integrates heterogeneous regulatory data on a global level, giving practitioners a broad monitoring perspective to effectively predict medical device failures. Through interactive dashboards, it enables informed decision-making to improve patient safety. The project was proposed by Prof. Enrico Caiani from the Department of Electronics, Information and Bioengineering, Antonella Lombardi, MSc student in Biomedical Engineering, Yijun Ren and Riccardo Gibello, Ph.D. students in Data Analytics and Decision Science.

YAOSC transforms SME productivity and autonomy with an easy-to-use, plug-and-play artificial intelligence-based application for codeless robot programming that is integrated into most robotic ecosystems. The project, developed at the MeRLIn lab, was proposed by Niccolò Lucci, Ph.D. student in Information Technology, and Prof. Andrea Zanchettin from the Department of Electronics, Information and Bioengineering.

The selected projects received funding that will be allocated to prototyping and technological development activities and will participate in an entrepreneurial and technological acceleration program under the supervision of PoliHub.