Sergi Nadal
Papers
2
Total Citations
37
H-Index
2
About
Sergi Nadal is a biomedical engineer and researcher specializing in the development of artificial intelligence (AI) and automated microscopy systems for diagnosing neglected tropical diseases. His work focuses on creating low-cost, high-throughput diagnostic tools that can operate effectively in resource-poor settings, particularly in sub-Saharan Africa. Nadal’s most significant contribution is the design of **iMAGING**, a novel automated system that integrates AI with a universal, low-cost robotized microscope to diagnose malaria. This system, described in his most-cited paper (26 citations), addresses the critical need for expert-independent diagnosis in regions where 247 million cases were reported in 2021. He has extended this approach to urogenital schistosomiasis, developing an AI-based diagnostic platform that replaces the traditional, labor-intensive gold-standard microscopy (11 citations). By combining deep learning image analysis with robotic slide handling, Nadal’s work directly tackles the diagnostic bottleneck in endemic areas, offering scalable, accurate, and affordable solutions. His research is a compelling example of engineering-driven global health innovation, with the potential to transform disease surveillance and patient care in low-resource environments.
Research Focus
Key Achievements
Top Papers
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