Craig J. Goergen,1 MacKenzie J. Tweardy,2 Steven R. Steinhubl,2,3 Stephan W. Wegerich,2 Karnika Singh,4 Rebecca J. Mieloszyk,5 and Jessilyn Dunn4
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA; email: cgoergen@purdue.edu
2physIQ Inc., Chicago, Illinois, USA
3Scripps Research Translational Institute, La Jolla, California, USA
4Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
5Microsoft Research, Redmond, Washington, USA
In this review, we highlight the existing knowledge base supporting the potential for widespread implementation of biometric data to address existing gaps in the diagnosis and treatment of viral illnesses, with a particular focus on the many important lessons learned from the coronavirus disease 2019 pandemic.
Published in Annual Review of Biomedical Engineering (2021)
Annu Rev Biomed Eng. 2021 Dec 21. doi: 10.1146/annurev-bioeng-103020-040136.