Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
March 2026
in “
FMDB Transactions on Sustainable Health Science Letters
”
Studysummary This study developed a method using Convolutional Neural Networks to detect nutritional deficiencies, such as iron, zinc, biotin, and vitamins, through high-resolution images of hair and nails, achieving an 89% accuracy rate in identifying these deficiencies.
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