Schindellegi, Switzerland, February 10th, 2022
We are pleased to announce that Professor L. Suzanne Suggs is now serving as an Advisor to Zynnon.
Suzanne has over 20 years of experience in health behavior, communication, and marketing in private industry and academia. Her research focuses on understanding behavior and acceptance of health prevention measures and designing solutions people value. She has designed, developed, and evaluated IT products and programmes to support self-management, improve prevention behaviors and patient care. She has published in scientific journals, policy reports, books, and editorials, and often speaks at academic, professional, and industry conferences and meetings. Suzanne is currently a Professor of Social Marketing at the Università delle Svizzera italiana in Lugano Switzerland, Vice-President of the Swiss School of Public Health, Visiting Reader in the Institute of Global Health Innovation, Faculty of Medicine at Imperial College London, co-speaker of the expert group on Science Communication of the Swiss Academies of Arts and Sciences, and is a member of the Swiss National COVID-19 Science Task Force.
She was a Post-doctoral researcher focused on Healthy Ageing in the Evidence-based Practice Center, Department of Clinical Epidemiology and Biostatistics, at McMaster University. She earned her PhD and a Master of Science in Health Studies from Texas Woman’s University, and a Bachelor of Business Administration in Marketing from the University of North Texas. Previously she was an Assistant Professor of Health Communication at Emerson College and Adjunct Assistant Clinical Professor, Department of Public Health and Family Medicine, at Tufts University School of Medicine.
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.