Hyperspectral Imaging and AI Enable Early Detection of Oxidative Stress in Cells
A new study published in Nature Communications Medicine reveals a diagnostic strategy combining hyperspectral imaging (HSI) with artificial intelligence (AI) to detect oxidative stress in red blood cells. This non-invasive method identifies biochemical changes that alter membrane optical scattering properties, enabling early disease detection. The study demonstrates the method's ability to distinguish children with Autism Spectrum Disorder (ASD) from neurotypical controls, highlighting its potential for personalized diagnostics. The integration of lipidomic analysis and AI models provides a comprehensive framework for assessing oxidative stress and related cellular changes. 
