November 2025 in “Zenodo (CERN European Organization for Nuclear Research)” Natural hair oils are effective for nourishing and protecting hair, with future focus on safety and sustainability.
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
June 2025 in “British Journal of Dermatology” Trichoscopy is highly effective for diagnosing scalp disorders and should be used more in dermatology.
January 2025 in “Communications in computer and information science” HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
October 2024 in “Journal of Cosmetic Dermatology” The metaverse offers potential for managing hair and nail disorders but faces challenges like technology limits and accessibility.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
August 2024 in “Dermatological Reviews” New technologies are improving the diagnosis and treatment of hair and nail disorders.
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May 1994 in “Facial plastic surgery clinics of North America” Minoxidil was promising for treating male and female pattern baldness in 1994, but more research on genetics and other treatments was needed.
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January 2025 in “Burns & Trauma” Machine learning and single-cell analysis improve understanding and treatment of wound healing.