Unobtrusive clinical monitoring with robots in AAL environments: the RADIO ecosystem

Vangelis Karkaletsis

Dr. Vangelis Karkaletsis is the head of the Software and Knowledge Engineering Laboratory (SKEL) of the Institute of Informatics and Telecommunications at NCSR "Demokritos", and responsible for the Institute's educational activities. His research interests are in the areas of Language and Knowledge Engineering, as applied to content analysis, natural language interfaces, ontology engineering. He has extensive experience in the coordination and technical management of European and national projects. He is currently coordinator of the H2020 Radio project on the use of robots in assisted living environments. He has organised international workshops, conferences, summer schools. He teaches for many years at post-graduate courses on language and knowledge technologies. He is co-founder of the spin-off company ‘i-sieve Technologies’ that exploited SKEL research work on on-line content analysis. He is currently involved in the founding of the new spin-off company Newsum that exploits SKEL technology on multilingual and multi-document summarization.
 

 

Tailoring Health Treatment to the Individual: From Health Related Data to Actionable Knowledge

Dimitris Fotiadis

Dr. Fotiadis is Prof. of Biomedical Engineering and Director of the Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece. Dr Fotiadis is the founder of MEDLAB, which now is one of the leading centers in Europe in Biomedical Engineering with activities ranging from the development of health monitoring systems to big data management and multiscale modelling. The Unit is an active center for many R&D projects and is considered as a center of excellence for human tissues modelling activities with international collaborations with the research community, industry and public organizations. Dr Fotiadis is affiliated researcher of the Biomedical Research Dept. of the Institute of Molecular Biology and Biotechnology, FORTH, and member of the board of Michailideion Cardiac Center.
 

 

What happens when educational technology becomes seamless – A case from Singapore

Nabil Zary

Dr. Zary is Associate Professor of Medical Simulation and eLearning. He received both his MD (1992) and PhD (2007) from KI and his thesis work focused on medial simulation. He is the acting director of the Medical Education Research and Scholarship Unit (MERSU) and Visiting Associate Professor of Medical Education Research at the Lee Kong Chian School of Medicine in Singapore, Nanyang Technological University (NTU). He is also the director of the Laboratory for Emerging Technologies (LET) at the Karolinska Institutet in Sweden. He served as a senior consultant at Collège des Hautes Etudes en Médecine, France largest CME/CPD provider. Dr. Zary has also served as coordinator of the Karolinska Institutet edX MOOC initiative (KIx) at edX, as well as the Compulsory Introduction to Doctoral Education at Karolinska Institutet. He is the former founding director of the Centre for Learning and Knowledge (CLK) at KI and the technical director for the Wallenberg Global Learning Network (Stanford). Dr. Zary has a long experience of research, education and innovation in the field of eLearning and Simulation. He is the main author of +120 scientific publications. Dr. Nabil Zary is currently leading the European branch of the ANSI accredited MedBiquitous standardization initiative.
 

 

OpenTrials: Reimagining Clinical Trial Data as a Public Good

Paul Walsh

Paul Walsh is Chief Product Officer at Open Knowledge International, a non-profit dedicated to enabling change with open data. Paul has 10 years experience working in startups in marketing, product and technical roles, and at Open Knowledge International leads on product strategy and oversees technical platform implementation for a range of products, such as OpenSpending, the Global Open Data Index, and Open Trials.

 

Discovery and Optimization of Diagnostic Pathways

Tony Solomonides

Tony Solomonides studied mathematics at King’s College (1972-76) and computer science at Imperial College (1988-90), both in London. A lifelong academic, he made the transition from math to CS through pedagogy and by studying formal aspects of databases for his early research. In the mid-1980’s he undertook his first medical informatics project and has remained fascinated and engaged ever since.

After his twin-track academic career as a biomedical informatician and as a computer scientist, culminating in his work in “healthgrids” and serving as Vice-President and Chair of the Scientific Board of HealthGrid from 2006 to 2010, Tony Solomonides was invited to join NorthShore in late 2011. He has contributed to the design, direction and analysis in several clinical research informatics projects. Lately he has served as co-PI on the PCORI-funded CAPriCORN network in the Chicago area. He chairs two Working Groups of the American Medical Informatics Association, the Ethics, Legal and Social Issues WG and the Clinical Research Informatics WG. He also has a longstanding relationship with CBMS, having participated over many years and served as Program Chair and host in 2011 in Bristol, UK.

Tony has been working with colleagues at NorthShore, Case Western, Carnegie Mellon, Johns Hopkins and Weill Cornell to address the problem of diagnosis of “undifferentiated complaints”. He uses complementary methods from computer science and from cognitive science to understand physicians’ reasoning and practical actions in their effort to diagnose a patient’s condition.

More broadly, Tony’s vision is to enhance the role of the patient as “expert” in his or her own condition and to engage the patient more directly in research in the “Learning Health System” movement. In this he hopes to leverage work done with his former student, Hanene Rahmouni, to create a system in which the patient can manage safely his or her own clinical data in a way that allows broad consent to be given for research, at the same time guaranteeing the integrity, privacy and confidentiality of the data through formal “norms” and data annotation.