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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.
Machine learning can accurately predict hair loss early, improving treatment options.
AI can improve alopecia areata diagnosis with high accuracy.
April 2025 in “Science Journal of University of Zakho” Inflammatory diets may increase the risk and severity of alopecia areata.
A hat with sensors can measure scalp moisture well, helping with hair care.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
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September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
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February 2021 in “Proteins” Researchers found that the most reachable bonds in wool fibers are near the ends of certain proteins, which help stabilize the fiber's structure.