This Short Advanced Programme (SAP) is integrated into the RUN-EU Students Week, hosted by  Polytechnic University of Cávado and Ave (IPCA) and jointly coordinated with the Technological University of the Shannon: Midlands Midwest (TUS). During the week, students will work in international teams to address real-world challenges through innovative, practical activities. On Friday, participants are also invited to take part in the RUN-EU General Assembly, joining the wider RUN-EU community in transforming our regions together.

The medical technology (MedTech) sector is undergoing a rapid transformation driven by advances in Artificial Intelligence (AI) and digital manufacturing. Medical imaging—such as CT scans, MRI, and ultrasound—generates vast amounts of complex data that, when properly analyzed, can reveal critical insights for diagnosis, treatment planning, and personalized healthcare. However, turning these digital insights into physical medical solutions, such as patient-specific implants, prosthetics, or anatomical models, requires a multidisciplinary approach combining AI, data science, and cutting-edge manufacturing technologies like 3D printing. 

This course addresses this vital intersection by training students to harness AI techniques for processing and interpreting medical images and then apply digital manufacturing methods to create real-world medical devices and tools. It equips learners with both the theoretical knowledge and practical skills necessary to bridge the gap between digital data and tangible MedTech innovations, empowering them to contribute to improving patient care and advancing medical science. 

Programme at a glance

• In-Person Week (in person)
  06 Oct 2025 - 10 Oct 2025 : Invest Braga Rooms Braga Portugal
  MONDAY (06.10.2025) 09:00 – 09:30: Check-in 09:30 – 10:00: Welcome and Ice Breaking 10:30 – 11:00: Launching the Challenges 13:00 – 14:00: Lunch Break 14:30 – 15:00: Lecture: Meeting Research in RUN EU Challenges and Opportunities 16:30 – 17:00: Cultural Activity: Meeting Braga TUESDAY (07.10.2025) 09:00 – 10:30: Workshop 1 – AI-based Digitalization and Anatomic Modelling 13:00 – 14:00: Lunch Break 14:00 – 15:30: Workshop 2 – Smart Digital Design and Manufacturing 16:30 – 22:00: Cultural Programme and Dinner WEDNESDAY (08.10.2025) 09:00 – 13:00: Working Group 13:00 – 14:00: Lunch Break 14:00 – 16:00: Group Work (Student Council meeting at the same time) THURSDAY (09.10.2025) 09:00 – 13:00: Preparation of the Prototype 13:00 – 14:00: Lunch Break 14:00 – 15:30: Presentation of Results FRIDAY (10.10.2025) 09:00 – 13:00: General Assembly in Barcelos Campus 13:00 – 14:00: Lunch Break 14:00 – Departure

Learning outcomes

By the end of this Short Advanced Programme, students will be able to:

• Analyse and interpret medical imaging data using AI-driven techniques;
• Develop and implement AI algorithms for medical image segmentation;
• Convert digital imaging data into accurate 3D anatomical models;
• Apply digital manufacturing methods, such as 3D printing, to create patient-specific physical solutions;
• Integrate AI and digital fabrication processes to address real-world MedTech challenges;
• Collaborate effectively across multidisciplinary teams combining healthcare, engineering, and data science;
• Evaluate the clinical relevance, technical feasibility, and ethical implications of MedTech innovations;
• Manage project workflows and communicate results clearly to technical and non-technical stakeholders;

Selection criteria

The candidates will be selected according to the CV and motivation. Priority will be given to students who are developing research at a master’s or PhD level in Engineering related fields. A minimum of 30 students will be selected for this programme.    

Product label: SAP-AITOAICH-03