Wenshen Gu

Papers

Total Citations

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About

Wenshen Gu is a biomedical engineer whose research centers on developing high-throughput diagnostic systems for infectious diseases. Gu’s most-cited work, "Automatic system for high-throughput and high-sensitivity diagnosis of SARS-CoV-2" (2022, 10 citations), introduces an automated platform that significantly enhances both the speed and sensitivity of COVID-19 testing. This contribution addresses a critical bottleneck in pandemic response—enabling rapid, large-scale screening without compromising accuracy. By integrating robotics and advanced biosensing, Gu’s system reduces manual labor and turnaround time, making it particularly valuable for resource-limited settings. The work has been recognized for its potential to transform diagnostic workflows during global health emergencies. Gu’s research bridges engineering and clinical applications, with implications for future outbreak preparedness. With a focus on automation and sensitivity, Gu continues to advance point-of-care diagnostics, aiming to make high-quality testing more accessible worldwide.