Prof. Konstantina Nikita presented her keynote speech on “Multimodal data fusion and AI towards personalized diabetes care” at EAI BODYNETS 2021.
On October 26, 2021, Konstantina Nikita delivered a keynote speech on “Multimodal data fusion and AI towards personalized diabetes care” at the EAI BODYNETS 2021-16th EAI International Conference on Body Area Networks: Smart IoT and big data for intelligent health management, which was held online on Oct 25-26, 2021.
Abstract: Intelligent personal health systems leverage advances in wireless, wearable, and ambient technologies, coupled with advanced data analytics and simulation techniques, in order to optimize treatment and facilitate effective self-disease management. The integration of heterogeneous data sources with existing pathophysiological knowledge and disease models in these systems can fuel informed, accurate diagnosis, timely prognosis, and tailored interventions, underpinning precision medicine. In this keynote, we will discuss advanced integrated technology-aided approaches towards the development of personal health systems for chronic disease management, focusing on Diabetes Mellitus and Obesity. Approaches for the enhanced integration of multidimensional, heterogeneous data will be outlined while emerging disease modelling approaches will be presented, including advanced statistics and explainable Artificial Intelligence. The keynote will also highlight advanced clinical decision-making and recommendation techniques that are deployed towards the generation of personalized recommendations with the ultimate goal to enhance clinical and well-being outcomes.
The video lecture is available here.
The EAI BODYNETS 2021 conference explored the scope and challenges of designing, building, and deploying body area networks (BodyNets) and served as a forum to exchange ideas, discuss practices, raise awareness, and share experiences among researchers and practitioners in the field of computer science, electrical engineering, biomedical engineering, medicine, and other disciplines in both academia and industry.
With recent advances in wireless communication, low-power miniaturized sensors, and semiconductor technologies, the sensor networks have become an integral part of ubiquitous healthcare systems. Wearable communications and personal health management are the future trends the healthcare procedures are nowadays heading for – Wireless body area networks (WBAN) are one major element in this process. Compared to traditional sensor networks, WBANs face additional research challenges including signal propagation in/around a human body, power scavenging issues, fault tolerance, mobility, reliable MAC protocols, Quality of Service (QoS), biocompatibility, and security. The huge amount of data collected by WBAN nodes demands scalable, on-demand, powerful, and secure storage and processing infrastructure. Moreover, WBANs have emerged as a promising technology for medical and non-medical applications. Other potential applications include interactive gaming, social computing, entertainment, and military applications.
The conference program is available here.