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Articles

AI-based autism identification from hyperspectral imaging detection of oxidative stress in pediatric red blood cells

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By Anna Sansone, Gessica Batani, Antonia Parmeggiani, Enzo Grossi, Marina Marini, Vincenzo Davide Catania, Mario Lima, Alessandro Ghezzo, Cristina Panisi, Carmela Serpe, Arianna Vignini, Ellas Spyratou, Chryssostomos Chatgilialoglu, Carla Ferreri, Roupen Vartian, Marida Angotti, Provvidenza M. Abruzzo, Efstathios P. Efstathoupoulos
| Nature Verified
Abstract Oxidative stress (OS) plays a key role in many pathologies, yet the non-invasive, label-free, and cost-effective detection remains a challenge. This study evaluates Hyperspectral Imaging (HSI) combined with AI to detect OS by identifying changes in red blood cell (RBC) membranes. An OS model for the HSI procedure is established by treating EDTA-anticoagulated whole blood with 1.5% hydrogen peroxide (H2O2) to induce stress without cell lysis.
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