January 2020 in “Global dermatology” The growth factor cocktail significantly increased hair growth in patients with androgenetic alopecia.
21 citations
,
January 2010 in “International Journal of Trichology” TrichoScan often makes mistakes and needs improvement for correct hair growth analysis.
11 citations
,
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
,
January 2020 in “Royal Society Open Science” A new automated method accurately measures hair damage using microscopic images.
8 citations
,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
5 citations
,
January 2018 in “Skin Research and Technology” TrichoScan needs optimization as it underestimated hair density by 38.9% compared to manual counting.
4 citations
,
April 2016 in “Journal of The American Academy of Dermatology” Microneedling with platelet-rich plasma can improve different types of hair loss.
2 citations
,
July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
An automated system can accurately classify hair disorders using image analysis.
January 2026 in “China CDC Weekly” The study explored the use of large language models (LLMs) for automated identification of monkeypox (mpox) from electronic medical records (EMRs) in Shenzhen, China, involving 239 individuals (126 mpox cases and 113 controls). The DeepSeek-R1-14B model was used to extract clinical features from free-text data, outperforming traditional methods and achieving high accuracy (96.1%) in identifying symptoms like fever and rash. Logistic regression based on these features showed the best performance with an AUROC of 0.927 and accuracy of 87.5%. The study concludes that LLM-based extraction of clinical features from EMRs is a promising approach for early mpox case identification, supporting intelligent surveillance and early warning systems.
July 2025 in “The Ewha Medical Journal” The model accurately detects early-stage hair loss using images.
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.
January 2005 in “Chinese Journal of Aesthetic Medicine” The combined hair transplant technique was effective and had high patient satisfaction.
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.
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
,
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 “Frontiers in Genetics” The method effectively extracts high-quality DNA from marmoset hair, avoiding blood chimerism.
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.
4 citations
,
December 2024 in “Protein & Cell” MultiKano accurately identifies cell types in complex data better than existing methods.
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.
6 citations
,
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.