The Swedish Digital Twins Initiative

Karolinska Institute, Stockholm, Sweden The overall aim is to develop digital twins of individual patients for predictive preventive and personalised medicine. The twins are constructed based on integrating routine clinical and genome-wide data down to the single cell level. Each twin is computation are treated with thousands of drugs to find the drug that is optimal for the patient. The ultimate aim is to construct dynamic digital twins that show health and disease processes, for predictive and preventive medicine. For more information visit: https://sdtc.se/ *Contents* 00:00 - Introduction 06:59 - Presentation: Swedish Digital Twins Initiative 37:32 - Questions Moderator: James A. Glazier, PhD, Indiana University, Bloomington For the slides in this presentation, visit: https://drive.google.com/file/d/121k8A7096KH23MsnWb4GjvR_dItsd81a/view?usp=share_link If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://youtube.com/playlist?list=PLiEtieOeWbMKh9VcQoinSwODcSZKMTGat Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/