Francesc Zarzuela
Papers
4
Total Citations
48
H-Index
3
About
Francesc Zarzuela is an innovative researcher working at the intersection of artificial intelligence, digital image analysis, and tropical disease diagnostics. His work focuses on developing automated, low-cost microscopy systems capable of diagnosing neglected tropical diseases and parasitic infections in resource-limited settings, particularly across sub-Saharan Africa. Zarzuela's most significant contribution is the iMAGING system, an AI-powered robotized microscope platform designed to automate malaria diagnosis — a disease affecting 247 million people globally — reducing dependence on expert microscopists and minimizing diagnostic errors. This pioneering work has accumulated 26 citations since its 2023 publication. Expanding on this foundation, he has applied similar technological frameworks to urogenital schistosomiasis, a neglected tropical disease affecting an estimated 150 million people worldwide, garnering 11 citations. His commitment to accessibility is further demonstrated through the development of an open-source, low-cost 3D-printed robotized microscope prototype, reflecting a philosophy of democratizing diagnostic technology for underserved communities. Collectively, Zarzuela's research represents a meaningful effort to harness emerging AI capabilities to address critical global health inequities, making him a compelling emerging voice in automated infectious disease diagnostics.
Research Focus
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Top Papers
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