Day 2
| Start | End | Topic | |
|---|---|---|---|
| 08:30 | 09:00 | Fundamentals of Digital Fabrication | Carmelo De Maria (UNIPI) Pierpaolo Fucile (UCBM) |
| 09:00 | 09:30 | ||
| 09:30 | 10:00 | ||
| 10:30 | 10:30 | ||
| 10:30 | 11:00 | Healthy Break | |
| 11:00 | 11:30 | Fundamentals of electronic rapid prototyping | Latiff Cherono (Gear Box Europlacer) |
| 11:30 | 12:00 | ||
| 12:00 | 12:30 | ||
| 12:30 | 13:00 | ||
| 13:00 | 13:30 | Digital infrastructures | Gabriele Oliva (UCBM) |
| 13:30 | 14:00 | Light Lunch | |
| 14:00 | 14:30 | ||
| 14:30 | 15:00 | Fundamentals of AI | Vitoantonio Bevilacqua (POLIBA) Claudia Ferraro (UCBM) Maria Elisabetta Pagnano (UCBM) |
| 15:00 | 15:30 | ||
| 15:30 | 16:00 | ||
| 16:00 | 16:30 | ||
| 16:30 | 17:00 | Healthy Break | |
| 17:00 | 17:30 | HANDS ON | |
| 17:30 | 18:00 | ||
| 18:00 | 18:30 | ||
| 18:30 | 19:00 |
Workshops
| Start | End | Topic | Responsible | |
|---|---|---|---|---|
| 17:00 | 17:30 | Workshop on AI | Claudia Ferraro (UCBM), Maria Elisabetta Pagnano | |
| 17:30 | 18:00 |
Meetings (with invitation)
| Start | End | Topic | Responsible |
|---|---|---|---|
| 14:30 | 15:00 | ABEC meeting | Daniel Atwine (MUST), June Madete (KU) |
| 15:00 | 15:30 | ||
| 15:30 | 16:00 | ||
| 16:00 | 16:30 |
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Fundamentals of Digital Fabrication
Carmelo De Maria – University of Pisa
Pierpaolo Fucile – University Campus Biomedico of Rome
The lecture will introduce the fundamentals of Additive Manufacturing (AM) as an appropriate technology for local production of tools and products. In the first part, the various AM technologies will be analysed in terms of physical principles, providing practical examples, and underlying pros and cons. In the second part, the 3D printing pipeline, from the 3D model to the 3D physical object will be illustrated.
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Fundamentals of electronic rapid prototyping
Paul Kamau – Gearbox Europlacer, Nairobi, Kenya
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Connectivity, Internet Complexity, and Data Security in Public Health
Prof. Gabriele Oliva – University Campus Bio-Medico of Rome
The lecture introduces the role of Internet connectivity and digital infrastructure in supporting public health services, particularly in geographically distributed and resource-constrained contexts. It provides a concise overview of the Internet as a complex, layered system, explaining how data is transmitted through routing, transport protocols, and physical infrastructures such as fiber-optic cables and satellite links. Different connectivity solutions are discussed, highlighting their relevance, strengths, and limitations for healthcare delivery.
The lecture then focuses on data security in healthcare, presenting real-world examples of ransomware, cyber-physical attacks, and medical data breaches affecting health services. Key cybersecurity concepts, including confidentiality, integrity, and availability, are introduced together with common threat categories targeting healthcare systems. The lecture concludes by emphasizing that effective cybersecurity in public health cannot rely solely on technological defenses, but requires a combined approach addressing technical, organizational, and human factors, supported by security culture and training to ensure resilient and trustworthy digital health services.
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Fundamentals of Artificial Intelligence: From Theory to Practice
Eng. Maria Elisabetta Pagnano & Eng. Claudia Ferraro – University Campus Bio-Medico of Rome
This session is structured in two complementary parts: a theoretical lecture followed by a hands-on workshop.
The first part introduces the fundamental concepts of Artificial Intelligence, with a focus on Machine Learning. Core paradigms of supervised and unsupervised learning will be presented, together with representative examples of classification, regression, and clustering problems. The objective is to provide participants with a clear understanding of how learning algorithms are structured, trained, and evaluated.
The second part consists of a practical workshop in Python, where participants will implement and test machine learning models using widely adopted libraries. Through guided coding sessions, theoretical concepts discussed in the lecture will be translated into practice, allowing attendees to directly explore data preprocessing, model training, and performance evaluation.
The overall goal is to equip participants with both conceptual foundations and practical skills necessary to approach AI development in a structured and critical way.
Click here to download the files for the practical workshop.
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Fundamentals of AI: decision support systems
Prof. Vitoantonio Bevilacqua – Polytechnic University of Bari – Italy
The lecture presents the fundamentals of decision support systems based on supervised inferential models of machine learning and neural networks, with particular attention to training, validation, and testing strategies in the biomedical field. Examples of computer aided diagnosis and detection based on medical image processing will be shown and discussed.