1 citations
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October 2023 in “Animals” A small dose of Platycladus orientalis leaf extract improves raccoon dogs' growth and health, but higher doses can be harmful.
1 citations
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February 2022 in “Journal of the American Academy of Dermatology” The document concludes that improving patient safety and quality is increasingly important in dermatology.
May 2025 in “Preprints.org” Olive oil byproducts can improve skin and hair care products due to their beneficial compounds.
May 2025 in “Preprints.org” Olive oil byproducts can improve skin and hair care products and help prevent skin cancer.
May 2025 in “Preprints.org” Olive oil byproducts can be used in skincare for their antioxidant and protective benefits.
Aesthetic rehabilitation techniques can improve life quality and wellbeing for disabled patients.
April 2024 in “Skin research and technology” Adding stromal vascular fraction to platelet-rich plasma injections did not significantly improve hair growth in androgenetic alopecia treatment.
21 citations
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January 2010 in “International Journal of Trichology” TrichoScan often makes mistakes and needs improvement for correct hair growth analysis.
11 citations
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June 2013 in “PubMed” The automated flat iron can permanently straighten hair without chemicals, especially at 154°C, and silicone improves the results.
10 citations
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January 2020 in “Royal Society Open Science” A new automated method accurately measures hair damage using microscopic images.
8 citations
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January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
5 citations
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January 2018 in “Skin Research and Technology” TrichoScan needs optimization as it underestimated hair density by 38.9% compared to manual counting.
4 citations
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April 2016 in “Journal of The American Academy of Dermatology” Microneedling with platelet-rich plasma can improve different types of hair loss.
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.
EfficientNet improves accuracy in diagnosing hair loss stages.
May 2026 in “IOSR Journal of Dental and Medical Sciences” Automated microneedling is a safe and effective treatment for improving facial scars.
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 “Harvard Dataverse” A deep learning model accurately detects early hair loss signs using scalp images.
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.
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.
January 2018 in “Archives of general internal medicine” The document concludes that automatic biofiber hair implant is a new method for improving hair growth.
May 2013 in “Proceedings of SPIE” Researchers created a system that accurately aligns laser beams automatically.
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.