Elisa Sayrol
Papers
4
Total Citations
28
H-Index
3
About
Elisa Sayrol is a pioneering researcher at the intersection of biomedical engineering, artificial intelligence, and global health. Her primary research areas include the development of automated diagnostic systems for neglected tropical diseases, low-cost medical imaging technologies, and engineering education. Sayrol’s most significant contributions lie in creating AI-powered, robotized microscopy platforms for diagnosing diseases that disproportionately affect resource-poor regions. She led the development of an automated system for urogenital schistosomiasis diagnosis—a disease affecting 150 million people worldwide—using digital image analysis and a robotized microscope (11 citations, 2024). Her open-source, low-cost 3D-printed microscope prototype (8 citations, 2024) democratizes access to automated optical microscopy, while her evaluation of AI tools for malaria diagnosis (3 citations, 2024) further demonstrates her commitment to tackling global health challenges. Beyond diagnostics, Sayrol has shaped engineering pedagogy, co-designing an innovative “Introduction to Engineering” course at Telecom BCN, UPC BarcelonaTech (6 citations, 2010). Her work exemplifies how engineering innovation can directly address pressing health inequities, making high-quality diagnosis accessible where it is needed most.
Research Focus
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Top Papers
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