Keynotes

“Population precision medicine research in digital economy”

Moderator: Thierry Priol

Abstract: What might we expect in leveraging the near- ubiquitous availability of “small data” for precision health and medicine? Mobile health technology and patient provided data are relatively new arrivals into the already vast ecosystem of consumer provided social, environmental and behavior data. Despite a robust industry of personalized health monitoring devices and tools, as well as national and international precision health initiatives and patient outcomes research, there is limited acquisition and integration of personalized generated health data into patients clinical health states. Challenges in part are due to the unique and evolving intersection of broadly available commercial devices and new models of personal data ownership and services offered by companies, but also to limited methods of data quality and linkage that has potential clinical utility. Are there approaches from the broad public acceptance, use and sharing of personalized data in other environments that may enhance the capabilities to characterize patient health states?

Nick Anderson

About the speaker: Dr. Anderson is Director of Informatics Research for UC Davis School of Medicine, Director of Informatics for the Clinical Translational Science Center at UC Davis, and the Cardiff Professor of Informatics in the Department of Public Health Sciences. His primary research interests are clinical research informatics data systems, data sharing policy and bioethics, and participant-centric tools. He is particularly interested in the development of sustainable, secure and scalable computing environments that allow for the application of data mining and modeling in integrative heterogeneous data sets that retain patient rights, intents, and sources of data provenance.

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“From detection to forecasting: Big Data and models in Epidemiology – The Example of Dengue in Rio de Janeiro”

Moderator: Hélène Kirchner

Abstract: Dengue is the most widespread of the diseases transmitted by arthropode vectors, and the world’s fastest growing one. Like chikungunya and zika, the arthropods responsible for its transmission (from vectors to humans and from humans to vectors) are Aedes mosquitoes. About 40% of the human population are exposed to dengue and about 50 millions are infected yearly. The main endemic areas are located in tropical zones, but climate changes seem to put at risk temperated zones too. Vectors are presently established in Southern Europe, and cases of autochtonous transmission have been detected in several countries of the continent. Vigilance, prevention and control efforts are increasing, as well as research efforts. Our goal is to present here some important issues for digital sciences, available data and models, through the example of the early-warning project Infodengue in the city of Rio de Janeiro. We will also discuss the possibility to go from early detection to epidemic forecasting. This talk has been prepared with the collaboration of Cláudia Codeço (Fundação Oswaldo Cruz, Rio de Janeiro, Brazil) and Flávio Coelho (Fundação Getulio Vargas, Rio de Janeiro, Brazil).

Pierre Alexandre Bliman

About the speaker: Pierre-Alexandre Bliman is Directeur de recherche at Inria (Mamba team, hosted by Laboratoire Jacques-Louis Lions, University Paris 6), presently in sabbatical at Fundação Getulio Vargas as an Associate Professor. His research deals with various aspects of Control theory, especially nonlinear and robust control. He is now particularly interested in applications to the area of Mathematical epidemiology.

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“Biomechanics and digital sciences to prevent risks of musculoskeletal disorders in elite sports practice”

Moderator: Jean-Frédéric Gerbeau

Abstract: One of the main objectives in elite sports is to identify biomechanical parameters that are involved in the occurrence of traumas and musculoskeletal diseases. To this end, one has to evaluate joint constraints, such as joint torques and forces. Preliminary work has shown the relevance of studying these constraints thanks to inverse dynamics approaches. These works enables us to identify parameters that are supposed to be linked to musculoskeletal disorders. It could be applied to various physical activities, such as cycling on long distances or tennis serving. To fulfill the natural constraints of sports practice, one has also to consider fatigue. Indeed, long time competitions in tennis may affect the way the player perform tennis serve and consequently alter the associated joint constraints. In the same way, maintaining an efficient posture for a long time in cycling affects the cycling pattern and consequently produce asymmetrical motions which are considered as potential source of pathologies

Benoit Bideau

About the speaker: Benoit Bideau is associate professor in University Rennes 2, specialized in Biomechanics and new technologies applied to sports and human performance. He is the head of the M2S Lab “Motion, Sports and Health” in sports sciences in Rennes, and is member of the Inria MimeTIC team. His research works deal with kinematic and dynamic modelling of human motion, in order to identify criterions about human motion efficiency. A second objective consists in exploring the relationship between these criterions and the occurrence of musculoskeletal disorders. His research works also addressed the perception-action loop in duels in sports, using new technologies, such as virtual reality. He published several papers both in virtual reality, sports sciences, and biomechanics.