Schindellegi, Switzerland, February 28th, 2022
We are pleased to announce that Prof. Dr. med. Didier Guillemot is joining us as an Advisor at Zynnon, where he will lead the Medical Committee of the Advisory Board.
Prof. Guillemot is a French Doctor specializing in infectious disease, and director of the Pharmacoepidemiology and Infectious Diseases research group at Institut Pasteur (https://www.pasteur.fr). He is also a researcher at Inserm (French National Institute of Health and Medical Research – https://www.inserm.fr).
From May 2016 to September 2017, he was President of Versailles Saint-Quentin-en-Yvelines University (UVSQ – https://www.uvsq.fr), where he has been teaching since 2007. He received his PhD in technological innovation and public health from the University of Paris-Diderot (https://u-paris.fr) in 1997, going on to obtain an HDR (habilitation to conduct research) in 2003.
Prof. Guillemot was also a member of the Scientific Advisory Board of the Agence Nationale de Sécurité du Médicament et des Produits de Santé (French National Agency for the Safety of Medicines and Health Products – https://ansm.sante.fr) and of the Institut de Veille Sanitaire (French National Public Health Agency – https://www.santepubliquefrance.fr).
Khaled Abousaleh, CEO of Zynnon comments: “I’m very honoured to welcome Professor Guillemot to our team. He has many years of research experience and brings a wealth of crucial knowledge in the areas of infectious disease and the modelling of infection risk. We look forward to working with him in what we hope will be a highly successful and rewarding collaborative project.”
Zynnon (www.zynnon.com) is a startup focused on improving and protecting people’s health using the Internet of Medical Things (IoMT). Zynnon is developing Lieberty, an innovative non-contact multi-parametric sensor combining health and environmental parameters. It is used to analyse indoor spaces in order to evaluate the risk of respiratory infections. The hardware is used in conjunction with our cloud-based artificial intelligence solution, which generates a Risk of Infection Index and provides alerts as well as recommendations for corrective action. This hardware and cloud solution provides key information for families, offering insights into older relatives’ living conditions, for example, so that they can make adjustments and act faster in the event of an alert. It helps older people to improve their health and safety in the home through the early detection of respiratory infection risks. This is also a valuable solution for nursing homes and hospitals, where it can stop respiratory infections from spreading thanks to the early detection of risks in indoor spaces.