In this talk, Johann Guilleminot discusses the construction, identification, and simulation of mathematically consistent stochastic models for computational personalized medicine. The aim is to develop admissible representations and numerical methods capturing inter- and intra-patient variations in physical parameters, to endow diagnosis and medical procedures with a certain level of confidence. https://www.youtube.com/watch?v=PZXV_7f44os

Professor Maria Gorlatova discusses mobile augmented reality (AR), which integrates virtual objects with 3D real environments in real time. AR is broadly expected to redefine how we interact with technology and the world around us. Yet current AR falls short of many of the expectations. Gorlatova presents a vision of multi-device, edge computing-supported and Internet-of-Things...

Dr. Jessilyn Dunn is Assistant Professor of Biomedical Engineering and Biostatistics & Bioinformatics at Duke University, and Director of the BIG IDEAs Laboratory whose goal is to detect, treat, and prevent chronic and acute diseases through digital health innovation.

In her talk, Amanda Randles discusses how the specific application of digital twins can create personalized simulations of the vascular system.

Speaker: Ryan Shaw https://youtu.be/7h9ms5ZBxkQ

Speaker: Wilkins Aquino