Keynote Speakers

  • Keynote Speaker 1: Prof. Eros Pasero

Eros G. Pasero is a Professor of Electronics at the Politecnico of Turin since 1991 after a four-year appointment as a Professor at the University of Roma, Electronics Engineering. He was also Visiting Professor at ICSI, UC Berkeley, CA in 1991, Professor of digital electronics and electronic systems at Tongji University, Shanghai, China in 2011, 2015 and 2017, and Professor of digital electronics and electronic systems at TTPU (Turin Tashkent Politechnic University), Tashkent, Uzbekistan since 2012 to 2014 where he was also vice-rector in the first period of 2014, visiting professor at the Columbia University of New York in 2018, visiting Professor at the California State University of Los Angeles in 2019.

Together with his group he was awarded the 1982 CILEA-Sperry award for complex application systems and local distributed architecture”, with the ASSIPE Design-In-Award in 2003 and 2004, with premio “Innova S@alute2017” at the “forum dell’innovazione per la salute” in September 2017; he was IEEE keynote speaker at 2014 Symposium Series on Computational Intelligence in Orlando, Fl, USA; Distinguished Lecturer of the 2016 IEEE Medical Information Summer School, Distinguished Lecturer of the 2017 IEEE school “Smarter Engineering for Industry 4.0”. Now he is an IEEE I&M Society Distinguished Lecturer.

Keynote Speech Title: Medicine 4.0: AI and IoT, the new revolution

Industry 4.0 is considered the great revolution of the past few years. New technologies, the Internet of things, the possibility to monitor everything from everywhere changed both plants and the approaches to industrial production. Medicine is considered a slowly changing discipline. The human body model is a difficult concept to develop. But we can identify some passages in which medicine can be compared to the industry. Four major changes revolutionized medicine:

  • Medicine 1.0: James Watson and Francis Crick described the structure of DNA. This was the beginning of research in the field of molecular and cellular biology
  • Medicine 2.0: Sequencing the Human genome. This discovery made it possible to find the origin of the diseases.
  • Medicine 3.0: The convergence of biology and engineering. Now the biologist’s experience can be combined with the technology of the engineers. New approaches to new forms of analysis can be used.
  • Medicine 4.0: Digitalization of Medicine: IoT devices and techniques, AI to perform analyses, Machine Learning for diagnoses, Brain-Computer Interface, Smart wearable sensors.

Medicine 4.0 is definitely a great revolution in inpatient care. New horizons are possible today. Covid 19 has highlighted problems that have existed for a long time. Relocation of services, which means remote monitoring, remote diagnoses without direct contact between the doctor and the patient. Hospitals are freed from routine tests that could be performed by patients at home and reported by doctors on the internet. Potential dangerous conditions can be prevented. During the Covid emergency, everybody can check his condition and ask for a medical visit (swab) only when really necessary. This is true telemedicine. This is not WhatsApp where an elder tries to chat with a doctor. This is a smart device able to measure objective vital parameters and send them to a health care centre. Of course, Medicine 4.0 requires new technologies for smart sensors. These devices need to be very easy to use, fast, reliable and low cost. They must be accepted by both people and doctors.
In this talk, we’ll see together the meaning of telemedicine and E-Health. E-health is the key to allowing people to self monitor their vital signals. Some devices already exist but a new approach will allow everybody (especially older people with cognitive difficulties) to use these systems with a friendly approach. Telemedicine will be the new approach to the concept of the hospital. A virtual hospital, without any physical contact but with an objective measurement of every parameter. A final remote discussion between the doctor and the patient is still required to feel comfortable. But the doctor will have all the vital signal recorded to allow him to make a diagnosis based on reliable data.
Another important aspect of medicine 4.0 is the possibility of using AI both to perform parameter measurement and to manage the monitoring of multiple patients. The new image processing based on Artificial Neural Networks allows doctors to have a better and faster analysis. But AI algorithms are also able to manage intensive care rooms with several patients reducing the number of doctors involved in the global monitoring of the situation.