January 2021 in “Medicine Science | International Medical Journal” Men with early hair loss may have higher health risks similar to women with PCOS.
April 2016 in “Journal of The American Academy of Dermatology” Finasteride effectively treated hidradenitis suppurativa.
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67 citations
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November 2019 in “Molecules” Tea, especially green tea, shows promise in cosmetics for skin and hair benefits but more research is needed for effective use.
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January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
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January 2024 in “IEEE Access” AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
Laser diode light boosts hair follicle cell growth and certain gene expressions.
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November 2024 Machine learning can accurately predict mental disorders.
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November 2024 VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
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May 2012 in “International Conference on Biomedical Engineering and Biotechnology” TGF-β receptor 1 helps deer antlers grow by aiding skin and cartilage cell growth.
Traditional Chinese medicine for hair loss focuses on "tonifying and activating blood, nourishing the liver and kidney."
The model accurately predicts hair loss severity in alopecia areata.
AI can improve alopecia areata diagnosis with high accuracy.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
The model accurately identifies hair diseases using deep learning.
Combining Hebai formula with minoxidil improves hair growth and reduces hair loss better than minoxidil alone.
Liangxue Zhituo prescription effectively treats androgenic alopecia with no serious side effects.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
The model accurately classifies hair conditions with 97% accuracy.
AI can predict hair loss patterns to improve care and treatment.
The system helps lavender plants grow better by monitoring and adjusting their environment.
Transfer learning with three neural network architectures accurately classifies hair diseases.
GoogLeNet is the best model for identifying folliculitis.
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