December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
37 citations
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October 2015 in “European Journal of Human Genetics” Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
2 citations
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May 2025 in “Diagnostics” ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.
A new CNN model can detect Alopecia Areata with 98% accuracy.
April 2025 in “Science Journal of University of Zakho” Inflammatory diets may increase the risk and severity of alopecia areata.