17 citations
,
June 2014 in “Journal of Ultrasound in Medicine” Abnormal cuticle and hair shaft medulla cause hair loss in androgenetic alopecia; sonography helps diagnose and manage it.
January 1998 in “Dermatologic Surgery”
33 citations
,
January 2005 in “Dermatology” Trichoscan is a reliable method for measuring hair growth and monitoring treatment effectiveness in hair loss.
11 citations
,
October 2020 in “Sensors” Photoacoustic imaging can accurately assess hair follicle density and orientation for hair transplant planning.
4 citations
,
August 2017 in “Journal of Cosmetic Dermatology” Finger length ratio may indicate male hair loss.
7 citations
,
January 2013 in “Supportive care in cancer” Hair mass index is a precise way to measure hair loss in chemotherapy patients.
1 citations
,
September 2021 in “Journal of Cosmetic Dermatology” B-mode ultrasonography and shear-wave elastography can help predict androgenetic alopecia early.
September 2024 in “Journal of Investigative Dermatology” A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
3 citations
,
December 2013 in “Journal of Dermatology” Scanning electron microscopy revealed four distinct hair root shapes in alopecia areata, suggesting a less invasive diagnostic method.
August 2025 in “bioRxiv (Cold Spring Harbor Laboratory)” Root hair stiffness is mainly influenced by tip compression and turgor pressure.
January 2020 in “International journal of scientific research” Dermoscopy shows that varying hair shaft thickness and single hair follicles are main signs of male pattern baldness, especially in the fronto-temporal region.
2 citations
,
November 2018 in “Modern Applied Science” The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
February 2024 in “Medicina” AFM can diagnose hair disorders by revealing detailed hair surface changes.
July 2011 in “F1000Research”
February 2026 in “The European Physical Journal E” Root hair growth mechanics depend on turgor pressure and cell wall properties.
November 1995 in “Dermatologic Surgery” The concentric mini-micrografting method is effective for extensive baldness, creating a natural look and efficiently using donor hair.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
February 1997 in “Dermatologic Surgery” Math skills are crucial for planning and executing successful hair restoration surgeries.
1 citations
,
December 2022 in “Clinical, Cosmetic and Investigational Dermatology” Midscalp hair density and terminal hair percentage are good indicators of female pattern hair loss severity.
January 2026 in “Skin Appendage Disorders” The trichogram is a practical, non-invasive, and cost-effective tool for diagnosing female androgenetic alopecia.
12 citations
,
August 2001 in “PubMed” CE-PTG is a better method for analyzing hair growth in androgenetic alopecia.
68 citations
,
March 2019 in “Journal of Cranio-Maxillofacial Surgery” The facial aging scale is a reliable tool for assessing skin aging and treatment effects.
9 citations
,
February 2018 in “Forensic Science International” The study could not confirm if Victor Vinnetou was Mbuyisa Makhubu and suggested more evidence, like DNA tests, is needed.
5 citations
,
April 2006 in “Skin Research and Technology” Scalp coverage scoring accurately measures hair loss and treatment effectiveness.
March 2026 in “Egyptian Journal of Forensic Sciences” Unified regulations and ethical guidelines are needed for fair use of forensic DNA phenotyping.
November 2024 in “Image Analysis & Stereology” The method improves hair image segmentation accuracy while reducing annotation costs.
November 1993 in “Hair transplant forum international” Measuring hair density is crucial for diagnosing and treating hair loss.
2 citations
,
November 2024 in “PLoS ONE” Genomic prediction can improve breeding strategies for Korean Sapsaree dogs.
1 citations
,
January 2000 March 2026 in “Frontiers in Medicine” A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.