Professor Debashis Chanda, working with researchers including physics doctoral student Mahdi Soudi, created a smartphone-based biosensor to improve infectious disease detection. The platform provides a faster, more affordable option for communities with limited access to traditional diagnostics.
Early diagnosis of infectious disease is key to slowing outbreaks and improving treatment outcomes. However, current diagnostic techniques are time-consuming, require specialized equipment and are dependent on trained personnel, which hinders accessibility in resource-limited areas.
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By UCF | December 2, 2025