A comprehensive human skin cell atlas was created to better understand skin biology and disease.
A comprehensive human skin cell atlas was created to better understand skin biology and disease.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
June 2024 in “Nature Cell and Science” The Scalp Coverage Scoring method reliably measures hair density from images.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
December 2025 in “Revista Científica Sinapsis” Personalized hair care using modern techniques and science is essential for healthy hair.
October 2025 in “Revista Científica de Estética e Cosmetologia” Personalized hair care plans are essential for healthy hair.
April 2025 in “British Journal of Dermatology” Age, sex, BMI, menopause, and specific genes affect hair density in East Asians.
December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
January 2024 in “Wiadomości Lekarskie” AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.
February 2022 in “arXiv (Cornell University)” A new method accurately captures and renders hair color for real and synthetic images.
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.
3 citations
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August 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
October 2022 in “Hair Transplantation” To succeed in hair restoration, be passionate, ethical, committed to learning, and lead effectively.
January 2026 in “Vestnik dermatologii i venerologii” AI in dermatology shows high accuracy in diagnosing skin diseases but needs more research for improvement.
The model accurately predicts hair loss by analyzing various factors.
September 2018 in “Plastic and Reconstructive Surgery – Global Open” Using real-time ultrasound during gluteal fat grafting is safe and reduces complication risks.
September 2017 in “Indian Journal of Plastic Surgery” Garg and Garg created an affordable, easy-to-use training program for hair restoration surgery using everyday items, which can teach a technician the basics in 3-4 weeks with two hours of daily practice.
2 citations
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November 2022 in “Scientific reports” Using gelatin sponges for deep skin wounds helps bone marrow cells repair tissue without scarring.
3 citations
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March 2005 in “Journal of the American Academy of Dermatology” The lotion and shampoo effectively treated scalp seborrheic dermatitis.
1 citations
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July 2025 in “The Ewha Medical Journal” The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.
November 2021 in “Frontiers in Genetics” The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
18 citations
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May 2018 in “International Journal of Molecular Sciences” Human body's immune cells are more common in the layer of fat just beneath the skin than in deeper fat layers.
April 2025 in “Science Journal of University of Zakho” Inflammatory diets may increase the risk and severity of alopecia areata.
2 citations
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November 2014 Common cosmetic dermatology techniques improve skin damaged by the sun and aging.
16 citations
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March 2005 in “Journal of The American Academy of Dermatology” A boy with Sjogren-Larsson syndrome has skin and muscle symptoms due to a specific enzyme deficiency.
65 citations
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December 2000 in “PubMed” The biology of skin and hair is complex and not fully understood.
18 citations
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January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.