Motivation and Objectives.
Digital Twins is a very promising technique, as well as an ongoing research topic, imported from the Industry domain in order to develop Personalized Healthcare around the behavior of either patients’ disease or users’ health profile.
It is clear that the positive advance in the treatment of the diseases improve the quality of life. The World Health Organization (WHO) characterizes a healthy life first of all with the prevention of diseases and secondly, in the case of the presence of disease, with the ability to adapt and self-manage. Smart measurement of vital signs and of behavior can help to prevent diseases or to detect them before they become persistent. These signs are key to obtain individual data relevant to contribute to this understanding of healthy life. Here, the design of a Digital Twin appears in order to provides a frame of reference where to analyze the patient previously to the definitely treatment given by the doctor.
The objective of this session is to present and discuss the advances in this important topic, Digital Twins, in the generation of knowledge. We advocates that this session will proportionate an important meeting point among different and variate researchers.
Prof. Dr. Cecilio Angulo
Prof. Cecilio Angulo is Full professor in the Automatic Control Department at UPC and Director of the Intelligent Data Science and Artificial Intelligence Research Center (IDEAI-UPC) where he is leading the Knowledge Engineering Research Group. Main topics of research includes cross-fertilization in the intertwine of Artificial Intelligence, Health and Industry, specially focused on social applications of them.
Universitat Politècnica de Catalunya. Intelligent Data Science and Artificial Intelligence Research Center, Jordi Girona 1-3, 08034 Barcelona, Spain
Prof. Dr. Juan Antonio Ortega
Prof. Juan Antonio Ortega is Full professor and obtained the Ph.D. degree in Computer Science in 2000 at the University of Seville in Spain. He is the Director of the Centre of Computer Scientific in Andalusia (Spain) www.cica.es and the head of the research group IDINFOR (TIC223) - Research, Development and Innovation on Computing Science. Our main research topics are: mobility, domotics and assisted systems, ubiquitous computing, time series and global information systems
University of Sevilla, ETS Ingeniería Informatica, Avda. Reina Mercedes s/n. Sevilla, Spain.
Prof. Dr. Luis González
Prof. Dr. Luis González is head of the researcher group SEJ 442 at University of Seville. His main research area is Machine Learning, Artificial Intelligence and Ubiquitous Computing with special focus on mobile devices, intelligent environments, e-Health services and telemedicine. His group is developing algorithms and devices for personalized and mobile health diagnostic support.
University of Sevilla, Department of Applied Economy I,
Avda. Ramón y Cajal, 1. Sevilla, Spain