66 citations
,
June 2010 in “Experimental Dermatology” The hair follicle is a great model for research to improve hair growth treatments.
42 citations
,
January 2014 in “Cold Spring Harbor Perspectives in Medicine” Hair growth is influenced by various body and external factors, and neighboring hairs communicate to synchronize regeneration.
20 citations
,
November 2019 in “Current Opinion in Systems Biology” The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
September 2017 in “Journal of Investigative Dermatology” Injections of special skin cells showed potential in treating hair loss, with some participants experiencing increased hair density.
2 citations
,
August 2006 in “Journal of Dermatological Science” Automated image analysis helps diagnose and monitor alopecia areata by efficiently measuring hair follicles.
4 citations
,
May 2023 in “arXiv (Cornell University)” Current automatic metrics for long-form question answering don't align with human preferences; a multi-faceted evaluation approach is needed.
1 citations
,
June 2023 in “ScienceRise Pharmaceutical Science” A semi-automated system can effectively help choose emulsion ingredients, simplifying the creation of medicinal and cosmetic products.
October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
July 2022 in “Journal of Investigative Dermatology” The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
29 citations
,
September 2019 in “Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie)” Bald men are seen as less attractive without personal information, but this bias is automatic.
5 citations
,
April 2024 in “bioRxiv (Cold Spring Harbor Laboratory)” Aging skin shows thinner layers, fewer hair follicles, and new biomarkers like increased space between cells and smaller sebaceous glands.
29 citations
,
February 1996 in “Journal of Chromatography B: Biomedical Sciences and Applications” New method detects finasteride in plasma quickly and accurately without clean-up.
4 citations
,
January 2022 in “SSRN Electronic Journal” Bioprinting hair follicle germs can effectively regenerate hair and improve hair growth.
The system can automatically identify different hair and scalp conditions using machine learning.
40 citations
,
April 2006 in “Journal of the European Academy of Dermatology and Venereology” The Trichoscan system was found to be inaccurate for measuring hair growth, needing better software to be useful.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Higher resolution images are needed to identify scarring and fine hair in alopecia.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
31 citations
,
August 2001 in “PubMed” TrichoScan accurately measures hair growth and showed improved hair counts and thickness after finasteride treatment.
28 citations
,
December 2002 in “Der Hautarzt” TrichoScan accurately measures hair growth and loss, showing increased hair counts and thickness with treatment.
6 citations
,
July 2022 in “Biomedical Signal Processing and Control” The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
10 citations
,
January 2012 in “International Journal of Trichology” PRP helps hair growth in common hair loss disorder.
5 citations
,
January 2025 in “BMC Medical Informatics and Decision Making” Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
3 citations
,
September 2024 in “Journal of the European Academy of Dermatology and Venereology” Clinicians and researchers must stay informed about big data to improve dermatology care.
March 2026 in “Applied Sciences” AI in hair and scalp analysis shows promise but lacks real-world clinical integration and validation.
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
July 2025 in “Underline Science Inc.” ROS influences the growth and structure of Arabidopsis root hairs.
A new image-based method improves accuracy in measuring hair loss in mice.
Current methods can't accurately predict which long-form answers people prefer; evaluations should consider different answer qualities separately.
September 2015 in “Research Portal (King's College London)” Human hair movement is affected by its inner structure and chemical treatments.
316 citations
,
June 2017 in “Stem Cell Research & Therapy” Fat tissue-derived cells show promise for repairing body tissues, but more research and regulation are needed for safe use.