Muscle health, encompassing muscle mass, composition, strength, physical performance and patient-reported outcomes, is a key determinant of clinical outcomes across the life course and a wide range of disease states. Despite growing recognition of its importance, muscle health remains insufficiently …

Accurate and reliable decision-making in the criminal justice system depends on accurate expert reporting and on the correct interpretation of evidence by the judges, prosecutors, and defense lawyers. The present study aims to gain insight into the judiciary's capability to assess the accuracy and reliability …

Artificial Intelligence (AI) is transforming workflows across various industries, including life sciences. When deployed securely, generative AI tools can automate structured programming tasks. In clinical research, a significant challenge is converting raw trial data into the formats required for regulatory …

Het onderzoek ‘Professional: Als expert en als mens’ is uitgevoerd bij het Lectoraat ‘Werkzame Factoren binnen de Jeugd- en Opvoedhulp’ van de HAN University of Applied Sciences. Dit lectoraat stelt zich ten doel om door praktijkgericht onderzoek bij te dragen aan het bevorderen van effectieve samenwerkingsrelaties …

Algorithms that significantly impact individuals and society should be transparent, yet they can often function as complex black boxes. Such high-risk AI systems necessitate explainability of their inner workings and decision-making processes, which is also crucial for fostering trust, understanding, …

The European Union Artificial Intelligence (AI) Act was adopted in 2024 to protect public interests from AI-related harms. We aimed to determine whether the AI Act captures the most relevant stakeholders’ values for a high-risk AI Clinical Decision Support System (CDSS) for cardiovascular disease. Ethics …

PED Expert Support Facility Digital Twins and decisionmaking tools for PED

In this thesis, we focus on developing behaviours for socially interactive agents (SIAs). The context in which the agent is used is a self-regulated learning system for children. We focus on personalising learning objectives and interaction content within an intelligent tutoring system (ITS). We envision …

"This expert article presents a comprehensive hydrogen training system that effectively bridges the gap between theoretical classroom knowledge and real-world industrial applications. The system integrates a PEM electrolyzer, hydrogen storage unit, fuel cell, and advanced PLC-based control platform to …

The energy transition requires engineers who can reason about complex renewable energy systems, diagnose faults, and work collaboratively in dynamic environments. Problem-Based Learning (PBL) is widely recognized for supporting such competencies, yet many engineering courses lack authentic contexts that …