Using AI to understand the pathogenesis of COVID-19

KAUST · April 9, 2020 · Notable

Summary

A KAUST Rapid Research Response Team (R3T) is collaborating with healthcare stakeholders to combat COVID-19. Xin Gao and his Structural and Functional Bioinformatics (SFB) Group are developing an AI-based diagnosis pipeline from CT scans of COVID-19 patients. The AI pipeline aims to address the high false negative rates associated with nucleic acid detection. Why it matters: This research could improve COVID-19 diagnostics and potentially inform understanding of viral pathogenesis.

Keywords

COVID-19 · KAUST · AI · CT scans · diagnostics

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