2 citations
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July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
2 citations
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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.
An automated system can accurately classify hair disorders using image analysis.
January 2026 in “China CDC Weekly” Large language models can accurately identify monkeypox from medical records.
July 2025 in “The Ewha Medical Journal” The model accurately detects early-stage hair loss using images.
September 2014 in “Hair transplant forum international” Automated devices are beneficial for hair restoration.
June 2023 in “Skin Research and Technology” Using platelet-rich plasma injections and 5% minoxidil topically can safely and effectively treat mild-to-moderate male pattern baldness.
December 2022 in “Research Square (Research Square)” The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.
7 citations
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December 2017 in “Open Access Macedonian Journal of Medical Sciences” Biofibre® hair implants are safe and effective for alopecia when proper procedures are followed, with high patient satisfaction.
3 citations
,
January 2018 in “Open Access Macedonian Journal of Medical Sciences” Implant safely and effectively treats hair loss.
January 2018 in “Archives of general internal medicine” The document concludes that automatic biofiber hair implant is a new method for improving hair growth.
January 2018 in “Journal of cosmetology & trichology” The Automatic Biofibre® Hair Implant is a fast and effective hair restoration method that provides immediate cosmetic benefits and good results in over 90% of cases, but requires proper care to avoid complications.
January 2005 in “Chinese Journal of Aesthetic Medicine” The combined hair transplant technique was effective and had high patient satisfaction.
7 citations
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February 2020 in “Analytical and Bioanalytical Chemistry”
April 2023 in “Journal of Investigative Dermatology” An automated system can predict death risk in thin melanoma by analyzing immune cells.
April 2023 in “Journal of Investigative Dermatology” An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
January 2018 in “Communications in computer and information science” Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
67 citations
,
July 2000 in “Proceedings of the National Academy of Sciences” The model accurately simulates human hair growth and hair loss patterns.
22 citations
,
February 2002 in “Journal of theoretical biology” The model showed that randomness accurately describes individual hair growth cycles and that synchronization can cause large fluctuations not seen in humans.
April 2025 in “Journal of Cosmetic Dermatology” The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
28 citations
,
June 2003 in “Applied immunohistochemistry & molecular morphology” Combining cell conditioning with mild protease digestion effectively shows versican mRNA in mouse skin sections.
7 citations
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October 2016 in “Cellular and Molecular Bioengineering” E-cadherin is important for cell movement in electric fields, and the new tracking method works well.
September 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Researchers created an efficient method to extract DNA from marmoset hair, avoiding blood chimerism.
June 2025 in “British Journal of Dermatology” ALUDWIG can help standardize female hair loss assessment from a single image.
38 citations
,
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.
20 citations
,
December 2017 in “Journal of Investigative Dermatology Symposium Proceedings” Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
6 citations
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January 2018 in “Multimedia Tools and Applications” The new method removes hair from skin images quickly and accurately to help identify skin lesions better.
April 2026 in “Scientific Reports” The tool accurately tracks eyebrow hair loss in chemotherapy patients.
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
September 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Researchers created an efficient method to extract DNA from marmoset hair, reducing blood chimerism.