8 citations,
August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
3 citations,
October 2022 in “Nano Letters” Machine learning identified promising nanozymes for treating hair loss.
2 citations,
September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
1 citations,
December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.