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Guillaume Gustin

Research Assistant

Guillaume Gustin received his Biomedical Engineering Master’s degree from Université catholique de Louvain in 2016. He is currently Research Assistant at Université catholique de Louvain (UCL), in the Telecommunication Laboratory. His main research interests are : Digital Health,  Machine Learning, Neurosciences.


Currently, his main research goal is to address the challenging field of eHealth by promoting  and facilitating the use of ICT as a way to empower patients with chronic diseases. More specifically, in his project, he aims to improve the diabetic patients’ care path and bridge the gap between them, healthcare professionals and laboratories by developing a pilot Diabetes Remote Monitoring and Management System.


Being very enthusiastic about incubators and new technologies, he has already attended Innovation classes, Innovation and Transmedia Project, and plans to join MIT Global Startup Lab to grow his entrepreneurship mind.


Acknowledgments: his research is supported by a Research Fellow grant from Fonds Européens de Développement Régional (FEDER)


Projects

City Labs

MED

Publications

2017

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Gustin, Guillaume ; Macq, Benoît ; Gruson, Damien ; Kieffer, Suzanne. Empowerment of diabetic patients through mHealth technologies and education: development of a pilot self-management application in 13th International Conference on Medical Information Processing and Analysis, San Andres Islands, Colombia, du 05/10/2017 au 07/10/2017

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Macq, Benoit ; Gustin, Guillaume ; Gruson, Damien ; Kieffer, Suzanne ; Brieva, Jorge ; García, Juan David ; Lepore, Natasha ; Romero, Eduardo. Empowerment of diabetic patients through mHealth technologies and education: development of a pilot self-management application in 13th International Symposium on Medical Information Processing and Analysis, San Andres Island, Colombia, du 5/10/2017 au 7/10/2017

2016

link

Gustin, Guillaume ; Macq, Benoît. Diabetes management through artificial intelligence and gamification : blood glucose prediction models and mHealth design considerations - Mémoire (Thesis)