海报内容-模板

How to predict responses to therapeutic actions with digital twins: the importance of material characterization

Guest Speaker：Professor Francesco Migliavacca ，Politecnico di Milano, Italy

Inviter: Prof. Guangyin Yuan

Date&Time: Wednesday, 23.April, 10:00-11:30

Venue: Meeting room B216，building B, SMSE

Biography:

Francesco Migliavacca obtained a MSc in Mechanical Engineering in 1992 and a PhD in Bioengineering in 1997 both from Politecnico di Milano. In 2000 he worked as a Research Assistant at the Cardiothoracic Unit of Great Ormond Street Hospital for Children in London in 1994 and 1997-99. At present he is a Full Professor of Bioengineering in the Department of Chemistry, Materials and Chemical Engineering ‘Giulio Natta’ of Politecnico di Milano. He has been is the Director of the Laboratory of Biological Structure Mechanics (LaBS) of the Politecnico di Milano from 2007 to 2017. His major research activities have included the fluid dynamic optimization of pediatric cardiac surgery procedures, fluid dynamics in the living systems as well as structural analysis and material behavior of biomedical devices, in particular intravascular stents. He is involved in funded researches from the European Commission, the Foundation Leducq and public and private Italian National programs. He received the medal 'Le Scienze 2001' in Engineering and was awarded the European Society of Biomechanics Perren Award in 2004. He is Associate Editor of the peer-reviewed journals ‘Cardiovascular Engineering and Technology’.

Abstract:

In silico technologies have been greatly evolved in the last decades and application to real cases are nowadays possible. The idea to develop methodological and technological approaches toward the definition of a personalized digital twins to monitor citizen healthy status or to predict responses to therapeutic actions has been shown as a matter of fact.

Cardiovascular diseases have been studied with in silico methodological as one of the first examples either from a fluid dynamic and a structural point of views. The treatment of pathologies of the aortic valve and thoracic aorta, easy to be translate to the majority of the mini-invasive treatments of cardiovascular pathologies where an implantable device is used will be illustrated. Results of computer simulations can guide the clinicians in the correct device choice and surgical approach. A key point of this process is the correct mechanical characterization of medical devices together with the verification and validation step to be rigorously done before applying results to the clinical practice.

In the future computer models will be more sophisticated, more complex, more detailed; however, a thorough validation will always be necessary as well as the need to identify patient-specific properties and characteristics. Personalized simulations as a pre-planning tool will be available in an easier way and with a more and widespread use for clinicians, patients’ communities and industrial players.