Special Sessions

Abstract: The management of diabetes has undergone a profound transformation, evolving from traditional fingerstick-based self-monitoring to sophisticated wearable technologies that enable continuous glucose tracking and automated insulin delivery. This special session will explore the latest breakthroughs in glucose monitoring systems, focusing on the integration of minimally invasive sensors, artificial intelligence (AI), and emerging non-invasive technologies. Topics will include real-time continuous glucose monitoring (CGM), closed-loop artificial pancreas systems, and the convergence of multi-analyte sensing with predictive analytics for personalized care.

Furthermore, the session will highlight cutting-edge research on optical, bioimpedance, and near-infrared (NIR) techniques for non-invasive glucose estimation, as well as the role of big data and machine learning in enhancing accuracy and usability. By bringing together experts from academia, industry, and healthcare, this session aims to foster discussion on technological challenges, regulatory pathways, and future directions toward seamless, patient-centric diabetes management. The ultimate goal is to accelerate innovation that reduces the burden of disease and improves quality of life for millions worldwide.

Abstract: Cognitive environments are context-aware spaces enhanced with artificial intelligence capabilities that actively sense, interpret, and respond to the needs of individuals. By integrating heterogeneous sensing technologies, ranging from wearable and environmental sensors to vision-based and multimodal systems, these environments continuously gather and process contextual information.

This allows them to deliver highly personalised and adaptive support, making them particularly valuable in healthcare and well-being scenarios where user needs, conditions, and behaviours can vary significantly over time. In this special session, we will explore the sensing, processing, and analytical frameworks that enable the creation of robust cognitive environments tailored to healthcare and well-being. Of particular interest are personalised sensing approaches for Ambient Assisted Living (AAL), where unobtrusive monitoring and intelligent interpretation of daily activities can promote independence, safety, and early detection of health-related issues.

Also, the session will address advances in smart mirrors, which are interactive systems capable of integrating AI-driven services such as real-tim physiological measurement, behavioural analysis, personalised feedback, and support for mental and physical well-being. These smart interfaces illustrate how everyday objects can become intelligent gateways to personalised healthcare. Furthermore, we will examine cognitive assistants grounded in ambient intelligence and contextual awareness. These assistants leverage continuous sensing and reasoning to deliver proactive, user-centric support, ranging from guided rehabilitation and well-being coaching to adaptive reminders and assistance in complex care pathways.

Overall, this special session aims to highlight innovative methods, technologies, and applications that advance personalised, adaptive, and human-centric healthcare solutions through next-generation cognitive environments.