just a quick reminder on the two upcoming webinars we have in the pipe line:
Webinar 1 "FDA Responses to Simulation Data used in Recent 510(k) Submissions in Orthopedics"
by Dr. Dana Coombs from Johnson & Johnson
TODAY at 15 CET
For Avicenna Alliance and VPHi members only
Registration: https://register.gotowebinar.com/register/2367643668347899152
This monthly Avicenna Alliance initiative for members only that has the goal to enable both Avicenna member companies and VPHi members to get to know each other better and share their knowledge about their main activities, expertise and interests. The series alternates presentations by academia and industry members.
Webinar 2: "Data integration in blood flow modeling"
by Cristóbal Bertoglio from the Bernoulli Institute (University of Groningen)
on 28 September 2020 at 15 CET
Open to anyone
Registration: https://register.gotowebinar.com/register/1279881419747677966
This second webinar belongs to the VPHi Keynote Webinar Series, a quarterly event organized by the VPHi Student Committee that provides a forum for access to senior community members and their expert competence for chiefly young scientists, but also to the VPH community as a whole.
Abstract: Mathematical and computational modeling of the cardiovascular system is increasingly giving alternatives to traditional invasive clinical procedures, and allowing for richer diagnostic metrics. In blood flows, the personalization of the models rely on inverse problems using clinical data, in particular medical images for measuring both anatomy and function of the vasculature. In this talk Dr Cristóbal Bertoglio from the Bernoulli Institute (University of Groningen) will review methods on integration of models and data in the context of blood flows. He classifies the strategies depending on the complexity of data they need to be fed with. In general, the richer and more structured the source of data, the simpler or more efficient is the resulting algorithm. This talk aims to provide evidence for an informed choice of models and data depending on the clinical question and resources.
Please do not hesitate to contact us if you have any questions or comments.
Best regards
Martina
