January 2024 in “Indian Journal of Plastic Surgery/Indian journal of plastic surgery” The flap advancement technique effectively treats severe scalp skin conditions, preserving hair and improving appearance.
3 citations
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January 2022 in “Biomaterials Science” The dressing can track joint movement and speed up healing of joint wounds.
2 citations
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January 2024 in “IEEE Access” AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
1 citations
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May 2019 in “Journal of The European Academy of Dermatology and Venereology” New method, hair distribution width (HDW), improves accuracy in diagnosing androgenetic alopecia (AGA).
The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.
An automated system can accurately classify hair disorders using image analysis.
1 citations
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December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
March 2024 in “medRxiv (Cold Spring Harbor Laboratory)” Recent selection on immune response genes was identified across seven ethnicities.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
15 citations
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November 2020 in “Development” Stem cells in the eye have different roles and behaviors, helping maintain and repair the eye's surface.
November 2023 in “El-Minia Medical Bulletin” Sinclair grading effectively identifies female androgenic alopecia patterns, with Grade III most common.
6 citations
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January 2022 in “BIO-PROTOCOL” The protocol allows easy imaging of dividing cells in C. elegans and can be used for other organisms.
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
January 2024 in “Applied Mathematics and Nonlinear Sciences” The model helps understand alopecia areata and suggests better treatment strategies.
1 citations
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June 2023 in “JPRAS Open” The hole technique is faster and effective for hair transplant site creation.
The digital system for measuring melasma shows promise but needs more development for better accuracy and automation.
February 2026 in “Optics” Stretching wool changes its structure and improves fiber alignment.
September 2024 in “Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi” XGBoost can effectively diagnose PCOS with 87% accuracy.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
April 2014 in “Investigative Ophthalmology & Visual Science” 8 citations
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March 2021 in “Drug testing and analysis” Researchers improved a method to more accurately estimate when and how long a drug was taken using hair analysis.
The model accurately predicts hair loss severity in alopecia areata.
79 citations
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July 2022 in “Sensors” Machine learning can effectively predict type 2 diabetes risk.
January 2026 in “Open MIND” Targeting the PIEZO1 and MLCK axis may offer a new treatment for hair loss.
1 citations
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March 2010 in “International Journal of Cosmetic Science” The Aqualon SLT device measures hair stiffness and slipperiness to evaluate hair treatments.
September 2025 in “Bioengineering” The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
2 citations
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January 2021 in “Journal of The American Academy of Dermatology” A simple scalp scraping can effectively distinguish fibrosing alopecia from androgenetic alopecia with seborrheic dermatitis.
A machine-learning test using hair can help detect autism early in infants.
1 citations
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July 2017 in “Hair transplant forum international” Scalp laxity, elasticity, and glidability are important in hair transplants and can predict scar width at the donor site.
5 citations
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September 2014 in “Journal of Pharmaceutical Sciences”