September 2025 in “International Journal of Medical Informatics” A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
August 2025 in “ACS Omega” New compounds show promise as nonsteroidal treatments for hair loss.
Microbial imbalances on the scalp can help diagnose and manage hair loss early.
February 2025 in “JAAD International” Five monthly sessions of minoxidil-dutasteride-copper peptide tattooing significantly improve hair regrowth in men with androgenetic alopecia.
February 2025 in “PubMed” AI-personalized hair loss treatments improved hair growth and scalp health without side effects.
September 2024 in “Journal of Cosmetic Dermatology” Robotic hair transplants are easier and quicker to learn than traditional methods.
June 2024 in “Journal of medicinal chemistry” A new AI-driven method shows promise for treating hair loss with a peptide-based drug.
6 citations
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February 2024 in “JAAD International” ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
February 2024 in “Scientific reports” Four genes are potential markers for hair loss condition alopecia areata, linked to a specific type of cell death.
3 citations
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May 2023 in “Precision clinical medicine” Researchers found four genes that could help diagnose severe alopecia areata early.
December 2022 in “Journal of Clinical Medicine” The new PRP treatment significantly improves hair growth.
3 citations
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October 2022 in “Nano Letters” Machine learning identified promising nanozymes for treating hair loss.
1 citations
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September 2022 in “JAAD international” Patients generally feel positive about alopecia areata treatments, but emotions vary by treatment type.
8 citations
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January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
November 2021 in “Frontiers in Genetics” The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
4 citations
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January 2021 in “Dermatologic Therapy” AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
December 2020 in “Journal of The American Academy of Dermatology” Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
31 citations
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December 2017 in “Skin Appendage Disorders” Caucasians have the highest hair density, followed by Hispanics, with the lowest in individuals of African descent.
31 citations
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November 2013 in “Dermatologic Clinics” The ARTAS robotic system for hair restoration is efficient with fewer cuts than manual methods, but it's limited to certain hair types and can still leave scars.
24 citations
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December 2011 in “Journal of The American Academy of Dermatology” Caucasian hair is denser, but Asian hair is thicker in female pattern hair loss patients.
38 citations
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May 2009 in “European journal of dermatology/EJD. European journal of dermatology” TrichoScan® is a reliable tool for measuring hair growth, providing quicker and more consistent results than manual methods.
1 citations
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March 2009 in “Hair transplant forum international” The TrichoScan method effectively measures hair growth and helps choose patients for hair restoration surgery.
70 citations
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June 2003 in “Journal of Investigative Dermatology Symposium Proceedings” TrichoScan is a reliable method for measuring hair growth and is useful for assessing hair loss treatments.
