Edurne Ruiz
Papers
2
Total Citations
37
H-Index
2
About
Edurne Ruiz is a biomedical engineer and researcher at the forefront of applying artificial intelligence to combat neglected tropical diseases. Her work focuses on developing automated, low-cost diagnostic systems for diseases that disproportionately affect resource-poor settings in sub-Saharan Africa. Her most significant contribution is the creation of **iMAGING**, a novel system that integrates AI tools with a universal, low-cost robotized microscope to automate malaria diagnosis—a disease that saw 247 million cases globally in 2021. This work, published in 2023, has already garnered 26 citations, highlighting its immediate impact. Building on this success, Ruiz extended her AI-driven approach to urogenital schistosomiasis, a neglected tropical disease affecting 150 million people. Her 2024 study introduced an automated system using digital image analysis and a robotized microscope to replace the labor-intensive gold-standard direct microscopy. By replacing manual expertise with scalable, AI-powered automation, Ruiz’s innovations promise to dramatically improve diagnostic access and accuracy in the world’s most underserved communities. Her research stands as a powerful example of how engineering and machine learning can directly address global health inequities.
Research Focus
Key Achievements
Top Papers
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