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5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"

October 14–16, 2015 | London, Great Britain

International Workshop on "Advances in Personalized Healthcare Services, Wearable Mobile Monitoring, and Social Media Pervasive Technologies”


The Digital Patient concept: Vision and Demonstrations

Aim and objectives: 

As an innovative concept, the impact of digital patient to personalised medicine is yet to be clear and hence requires a focused and concerted effort in addressing various questions regarding: Personalized healthcare emphasizes on the use of information about an individual/patient to select or optimize patient's preventative, therapeutic care and wellbeing. Modern healthcare solutions emphasize on the need to empower citizens to manage their own health and disease and include smart medical sensors, remote eHealth monitoring, smart-phone enabled data aggregation, medical awareness and analysis and context-aware assistive living technologies. Modern mobile healthcare systems, supported by information and communication technologies, provide solutions for improving illness prevention, facilitating chronic disease management, empowering patients, enable personalization of care improving the productivity of healthcare provisioning and improve utilization of healthcare enabling the management of diseases outside institutions as well as encouraging citizens to remain healthy. This workshop will build on experiences as well as technological and scientific developments stemming from some flagship projects funded by the EU under the FP7 framework programme aiming to bring together researches working in the fields of infrastructures and technologies for integrative biomedical research, ICT for predictive and translational medicine and the VPH at large.

In this context we invite researchers, physicians, computer scientists and engineers to present their experience and research work. 

Topics covered (but not limited to):

·         The power and limitations of modern technologies with respect to their applications to digital patients.

·         Mobile and wireless technologies for healthcare delivery, enhanced monitoring and self-management of disease and health

·         Clinical acceptability of digital patient in terms of supporting personalised medicine.

·         User perspectives, use cases and future scenario realising the vision for the “digital patient”.

·         Potential legal and ethical aspects of digital patients Wearable, outdoor and home based applications

·         Wireless, mobile and wearable devices for pervasive healthcare

·         Mobile applications for health, wellbeing disease management and disease prevention

·         Patient monitoring in diverse environments (hospitals, nursing, assisted living)

·         Healthcare telemetry and telemedicine, remote diagnosis and patient management

·         Wireless access in ubiquitous systems for healthcare professionals

·         Service-oriented middleware architecture for medical device connectivity in personal health monitoring applications

·         Technologies for the management and support of chronic diseases and the ageing population

·         Innovative communication and mobile technologies to support data collection and access, sharing, search and reasoning

·         Social media pervasive technologies for healthcare

Short Bio of the organizers:

Dr. Emmanouil G. Spanakis is a Collaborating Researcher with the Computational Medicine Laboratory (CML) of the Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH-ICS). He is also a visiting lecturer at the Computer Science Department, University of Crete. He holds a B.Sc. and a M.Sc. in Computer Science and received his Ph.D. degree in Computer Science in 2009 from the University of Crete, Heraklion, Greece. His expertise, specialization and research lies in the wider scientific domain of computational medicine and wireless communication networks, and in particular on biomedical informatics; wireless medical sensors; ambient intelligence and smart surroundings; e-health and m-health related services; as well as in cross-layer design in wireless ad-hoc networks; wireless interference channel under SINR constrains; performance and analysis of mobile ad-hoc routing protocols; and wireless network measurements analysis.

Dr. Kostas Marias holds a Principal Researcher position in the Institute of Computer Science (ICS-FORTH), and since 2010 he is the Head and Founder of the Computational Medicine Laboratory at FORTH-ICS (previously Biomedical Informatics Laboratory). During 2001-2003, he worked as a Researcher at the University of Oxford and from 2003-2006 as Associated Researcher at FORTH-ICS. He was the coordinator two EC projects on cancer modelling ( and, and during 2006-2013 worked in several EC funded projects developing ICT technology for personalized medicine. He coordinated the development of a wide range of image analysis and modelling tools ( designed for the clinical setting within the wider Virtual Physiological Human (VPH) EC initiative. He has published more than 100 papers in international journals, books and conference proceedings focusing on medical image analysis, biomedical informatics and modelling for personalized medicine.

Prof. Feng Dong, is Professor of Visual Computing. He joined CCGV in September 2007 from Brunel University. Prof Dong was awarded a BSc, MSc and PhD from Zhejiang University, where he became a member of academic staff at the State Key Lab of CAD and Computer Graphics, the leading computer graphics lab in China. He has many interests within computer graphics, including medical visualisation, and image processing; his recent work has also developed new areas in texture synthesis, image-based rendering and figure animation. He is currently coordinating two research EC projects MyHealthAvatar ( and Dr Inventor ( He has many high quality publications in top international journals and conferences.  


Paper submission

Papers should be submitted through EAI 'Confy' system at Confy, and have to comply with the ACM format (see Author's kit section).