Elena Sulleiro
Papers
4
Total Citations
48
H-Index
3
About
Elena Sulleiro is an infectious disease researcher whose work sits at the cutting edge of diagnostic innovation, with a particular focus on neglected tropical diseases and automated microscopy. Her research centers on harnessing artificial intelligence and robotics to revolutionize the diagnosis of diseases that disproportionately burden resource-limited settings, including malaria and urogenital schistosomiasis. Sulleiro's most significant contribution is the development of the iMAGING system, an AI-powered, low-cost robotized microscope designed to automate malaria diagnosis — a breakthrough that has garnered 26 citations since its 2023 publication. Recognizing that optical microscopy remains the gold standard yet demands rare expertise, she has worked to democratize access to accurate diagnostics. Her follow-up work extended this framework to schistosomiasis diagnosis, addressing a disease affecting an estimated 150 million people worldwide (11 citations), while her open-source 3D-prototype robotized microscope (8 citations) underscores her commitment to accessible, reproducible science. Collectively, her publications reflect a researcher driven not only by technical ingenuity but by global health equity — building scalable, affordable tools that could meaningfully reduce diagnostic errors and improve outcomes in the world's most underserved communities.
Research Focus
Key Achievements
Top Papers
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