Alejandro Mediavilla
Papers
2
Total Citations
14
H-Index
2
About
Alejandro Mediavilla is a leading researcher at the intersection of artificial intelligence, global health, and neglected tropical diseases. His work focuses on developing automated, low-cost diagnostic systems for diseases that disproportionately affect resource-poor settings, particularly in sub-Saharan Africa. Mediavilla’s major contribution is the creation of an integrated platform combining AI-based digital image analysis with robotized microscopy to replace expert-dependent manual diagnosis. His most cited paper (11 citations, 2024) describes an automated system for urogenital schistosomiasis—a disease affecting 150 million people—while a companion study (3 citations, 2024) validates the same universal low-cost robotized microscope for malaria diagnosis. By engineering AI tools that can identify Plasmodium parasites and schistosome eggs from digital slides, Mediavilla directly addresses the WHO’s call for point-of-care diagnostics in endemic regions. His work is notable for its dual focus on technical innovation and practical affordability, aiming to reduce diagnostic errors and expand access to accurate screening. Mediavilla’s research represents a critical step toward scalable, AI-powered surveillance for neglected diseases.
Research Focus
Key Achievements
Top Papers
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