January 2019 in “Srpski Arhiv Za Celokupno Lekarstvo” The technique improved hair transplant success and patient satisfaction by matching hair growth direction.
30 citations
,
June 2015 in “Dermatologic Surgery” Ultrasound shows 80% of Hidradenitis Suppurativa patients have abnormal hair tracts that may worsen the condition.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
2 citations
,
January 2022 in “Skin research and technology” OCT can detect hidden hair follicles in alopecia areata, indicating potential hair regrowth.
4 citations
,
August 2013 in “Chinese Medical Journal” A specific gene mutation in KRT86 is linked to hair disorder in a Chinese Han family.
March 2025 in “Journal of Craniofacial Surgery” Natural hairline asymmetry should be embraced for better-looking hair transplants.
June 2004 in “Dermatologic Surgery” Dr. Walter P. Unger suggests that copying a person's natural hair direction and angle during transplants leads to a more natural and fuller appearance.
13 citations
,
October 2020 in “BMC Genomics” Long non-coding RNAs play a key role in yak hair growth cycles.
September 2020 in “Research Square (Research Square)” Researchers found that certain RNA sequences play a role in yak hair growth and these sequences are somewhat similar to those in cashmere goats.
September 2024 in “Advanced Biomedical Research” Chick embryo extract helps rat hair follicle stem cells become more like neurons.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
39 citations
,
July 2013 in “Journal of dermatological science” Hair microRNAs could be effective biomarkers for diagnosing scleroderma.
36 citations
,
March 2007 in “Journal of Chromatography B” Hair analysis can detect testosterone in horses after drug administration.
3 citations
,
July 2015 in “Biotechnic & histochemistry” Bim and Puma proteins are found in developing mouse hair follicles and are involved in more than just cell death.
21 citations
,
July 2004 in “British Journal of Dermatology” HPV type 56 can hide in hair follicles even without visible warts.
November 2025 in “Scientific Reports” COVID-19 may cause hair loss by affecting hair follicles.
October 2022 in “BMC genomics” RNA editing significantly affects hair growth and follicle cycling in the Tianzhu white yak.
July 2020 in “Research Square (Research Square)” The study found key long non-coding RNAs involved in yak hair growth cycles.
June 2020 in “Research Square (Research Square)” The study found key long non-coding RNAs involved in yak hair growth cycles.
March 2020 in “Research Square (Research Square)” Different long non-coding RNAs in yaks change during hair growth cycles and are involved in key growth pathways.
December 2023 in “Materials Today Sustainability” Scientists made glow-in-the-dark dots from human hair that can detect iron, prevent counterfeiting, and reveal fingerprints.
13 citations
,
May 2004 in “Dermatologic Surgery” The paper concludes that copying the natural direction and angle of hair in transplants is key for a natural look and doesn't harm hair survival.
4 citations
,
August 2023 in “Journal of Investigative Dermatology” Certain genes influence the direction of hair whorls on the scalp.
Female pattern hair loss and polycystic ovary syndrome are often linked.
August 2019 in “Journal of archaeological science: Reports/Journal of archaeological science: reports” Ancient hair can preserve hormones, revealing health and fertility insights.
3 citations
,
January 2023 in “European Journal of Information Technologies and Computer Science” The machine learning model accurately detected hair loss and scalp diseases using processed images.
Machine learning can accurately predict hair loss early, improving treatment options.
February 2025 in “Skin Research and Technology” New non-invasive techniques can improve diagnosis and treatment of scalp and hair diseases.
1 citations
,
March 2024 in “arXiv (Cornell University)” Deep learning can effectively detect hair and scalp diseases early.
4 citations
,
May 2024 in “INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT” AI can accurately diagnose hair and scalp conditions and suggest treatments.