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Problem Statement
Problem Statement
In the wake of the COVID-19 pandemic, there has been a need for reliable diagnostic testing. However, state-of-the-art detection methods rely on laboratory tests and also vary in accuracy.
In the wake of the COVID-19 pandemic, there has been a need for reliable diagnostic testing. However, state-of-the-art detection methods rely on laboratory tests and also vary in accuracy.
Our Solution
Our Solution
Design a bioelectronic COVID-19 detection test that is:
Accurate
Portable
Automated
Best Overall Project at Bioengineering Day!
Best Overall Project at Bioengineering Day!
A huge thank you to all our graduate student mentors, Dr. Ratnesh Lal, and Dr. Gert Cauwenberghs for their amazing mentorship and support throughout the year.
Interested in Learning More?
Interested in Learning More?
Tsui, D., Downey, F., Navaneethan, S., et.al., “A machine learning approach to COVID-19 detection via graphene field-effect-transistor (GFET)”, 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Group282023BioelectronicCovid19DetectionPublic.mp4Page Design: Darin Tsui
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