4 citations
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August 2023 in “Nature Communications” Mouse zigzag hair bends form due to a 3-day cycle of changes in hair progenitors and their environment.
1 citations
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April 2013 in “Journal of Investigative Dermatology” 33 citations
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May 2015 in “JAMA Dermatology” Early detection of specific skin lesions can help identify Birt-Hogg-Dube syndrome and prevent serious complications.
September 2024 in “Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi” XGBoost can effectively diagnose PCOS with 87% accuracy.
November 2023 in “Pakistan Journal of Medical & Health Sciences” Careful technique and planning lead to successful, natural-looking eyebrow transplants.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
26 citations
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October 2020 in “Biomedicines” Bioengineered skin models help reduce animal testing and advance research in cosmetics and skin disease.
January 2026 in “JEADV Clinical Practice” The patchy alopecia in the altarpiece likely symbolizes the soldier's negative traits.
45 citations
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January 2012 in “International Journal of Trichology” Trichoscopy is better than trichogram for diagnosing female hair loss.
September 2024 in “Dermatology Reports” Sonidegib often causes hair loss, and LC-OCT helps identify early signs.
1 citations
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September 2021 in “Physiology News” The authors suggest standardizing how the heart's electrical axis is calculated to improve precision and consistency in ECG analysis.
November 2022 in “Annals of Translational Medicine” Immune activities and specific genes are important in male pattern baldness.
3 citations
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October 2017 in “Journal of Cosmetic Dermatology” Dr. Muhammad Ahmad created a hair classification system to help improve hair restoration surgery outcomes.
3 citations
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January 2019 in “Electronic Imaging” The device accurately estimates natural hair color at the roots in real time.
January 2010 in “Nihon Hou Kagaku Gijutsu Gakkaishi” The modified staining method can determine the ABO blood group of hair samples accurately.
January 2024 in “Lecture notes in networks and systems” "TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
2 citations
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February 2021 in “European Journal of Plastic Surgery” The Fibonacci 'snail' flap heals faster and looks better than skin grafts for scalp reconstruction.
8 citations
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April 2001 in “Dermatologic Surgery” Michael L. Beehner proposed a standardized way to describe balding areas on the scalp to help hair restoration experts communicate better.
1 citations
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January 2017 in “Springer eBooks” The document explains how hair loss patterns in men and women, known as Androgenetic alopecia, are classified using the Hamilton-Norwood system for men and the Ludwig grade system for women.
September 2018 in “Dermatologic Surgery”
2 citations
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January 2013 in “International Journal of Dermatology” ALDOA levels drop in hair cells during hair loss.
June 2024 in “World Journal of Management Science” Data visualization tools are crucial for understanding and advancing androgenetic alopecia research.
The model accurately identifies hair diseases using deep learning.
8 citations
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May 2019 in “Journal of dermatological treatment” Vismodegib is effective for basal cell carcinoma but has severe side effects.
2 citations
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June 2019 in “International Journal of Dermatology” The modified hair loss classification is more detailed but less user-friendly.
February 2019 in “Dermatologic Surgery”
3 citations
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July 2003 in “PubMed” The research found a way to measure hair surface changes by analyzing how light reflects off of it, and determined hair cuticle angles vary by hair length and color.
3 citations
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July 2015 in “oURspace (University of Regina)” The method effectively grouped tweets into categories without knowing the number of groups beforehand.
A new method creates valuable compounds for drug discovery by breaking traditional chemical rules.