Using digital twins in viral infection

Submitted by Jim Sluka on Mon, 03/15/2021 - 12:50
Authors
Reinhard Laubenbacher
James P Sluka
James A Glazier
DOI
10.1126/science.abf3370
Publication journal
Science 12 Mar 2021, Vol. 371, Issue 6534, pp. 1105-1106

SARS-CoV-2 has highlighted the need for computational models ranging from viral to within host to the population scales. The 2021 pandemic saw the rapid re-purposing of epidemiological computer models originally developed for other pandemics. This re-purposing helped policy-makers and health care professionals plan their responses. However, it is not currently possible to predict the course of disease for individual patients.“Digital twins” are software models of the function of complex machines. Integrating medical knowledge with patient-specif information could be used to create a "Digital Twin" of an infected individual. Medical Digital Twins may be an approach to combing data from diverse data resources, fine tune that data with patient-specif information, leading to improved medical responses to viral pandemics.

Publication Date
Keywords
Viral Pandemics
multiscale modeling
Digital twin
Precision medicine