Mads Nielsen & Akshay Pai – “Risk assessment of severe Covid-19 infection”
Tuesday, April 28, 2020 at 12:00 pm Eastern Time (US and Canada)
“Risk assessment of severe Covid-19 infection”
Mads Nielsen & Akshay Pai
– University of Copenhagen –
Seminar will be remote via Zoom
(contact firstname.lastname@example.org for meeting link)
Abstract: Denmark has been early and firm in constraint on the population that limits infection reproduction. Now, first steps in an reopening of society is taking place with primary school, hairdressers, and research labs reopening. The primary guideline for the government in the opening is never to increase infection above hospitalisation capacity, and especially ICU and ventilator capacity. Whereas infection reproduction is modelled on a population scale, numbers for hospitalisations and ICU referral are much lower, and individuals are known to the health care system already from testing. Hence, there is a need for a model for the individual of risk for needed care. Our study include all Covid-19 positive individuals that are referred to hospitals. Based on all their data in terms of medical history, drug prescriptions, lab results, treatment history, and imaging, we seek to forecast their risk of progression to severe Covid-19 infection and need of care. We will describe the study, show preliminary modelling results, and spend some more time in depth on analysis of chest x-rays for severity scoring of Covid-19 infection.
Bio(s): Mads Nielsen is a professor in medical image analysis and Head of Department of Computer Science, University of Copenhagen. He has published more than 300 papers, has graduated more than 40 PhDs, is member of the Danish Academy of technical Sciences. He is cofounder of Biomediq A/S and Cerebriu A/S. Akshay Pai is post doc in medical image analysis at Department of Computer Science, University of Copenhagen. He is cofounder of Cerebriu A/S, where he is also Chief Technology Officer.