Machine learning for precision medicine and remote monitoring of chronic conditions – Prof. L. Pecchia

November 5, 2020 - 09:30 - Online


After briefly introducing the research activity of his lab, Prof. Pecchia will provide an overview of his research activities in the area of machine learning and remote health monitoring for the management of chronic conditions. In this talk, Prof. Pecchia will present the results of more than 10 years of experience, demonstrating how the evolution of methods and tools have enhanced the application of machine learning in real-life for the control of several conditions, including congestive heart failure, hypertension, mental stress and hypoglycemia. Finally, Prof. Pecchia will provide a quick overview of his current projects on the application of machine learning for enhancing healthcare services, also in lower-income countries.


Leandro Pecchia received the degree in biomedical engineering and the Ph.D. degree in biomedical engineering and management of healthcare services from the University of Naples “Federico II”, in 2005 and 2009, respectively. Since 2013, he has been with the University of Warwick, U.K., where he is currently an Associate Professor of biomedical engineering and directs the Applied Biomedical Signal Processing and Intelligent eHealth Lab (ABSPIE). He authored more than 100 peer-reviewed articles on journals, books, and conferences in the fields of health technology assessment (HTA), machine learning and biomedical signal processing applied to healthy ageing, chronic diseases, and fall prediction in the later life. He is a Secretary General of the IUPESM, a Treasurer of the IFMBE Clinical Engineering Division, and a Chair of the Public Affair Working Group of the EAMBES. He served the IFMBE Healthcare Technology Assessment Division as a Chair, from 2015 to 2018, and a Treasurer, from 2012 to 2015.

Prof. Leandro Pecchia

University of Warwick

Institutional website