March 2026 in “Psychosomatic Medicine and General Practice” Lower hardiness and resilience in mixed alopecia patients may predict more psychological distress.
September 2025 in “Psychoneuroendocrinology” Hair glucocorticoids link to type 2 diabetes but not to socioeconomic status.
January 2025 in “Nature Communications” Large-scale reconstructions enhance understanding of vibrissal sensory mapping in the brain.
December 2023 in “International Journal of Pharmaceutics” New nanoparticles deliver plant extracts to hair follicles to treat conditions like hair loss and acne.
August 2023 in “Micromachines” The new method can create hair follicle-like structures but not complete hair with roots and shafts, needing more improvement.
November 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” Apoptotic cells may trigger cell death in hair follicles during their regression cycle.
April 2018 in “The journal of investigative dermatology/Journal of investigative dermatology” Double-stranded RNA helps regenerate hair follicles by increasing retinoic acid production and signaling.
January 2018 in “Refubium (Universitätsbibliothek der Freien Universität Berlin)” Nanocrystals and nanoparticles can enhance drug delivery for skin applications by improving solubility and dissolution rates.
September 2017 in “Journal of Investigative Dermatology” The new scalp treatment preserves hair color, reduces hair loss, and maintains hair strength.
January 2014 in “China Surfactant Detergent & Cosmetics” A reliable method was developed to measure finasteride in hair products.
248 citations
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September 2006 in “PLANT PHYSIOLOGY” Extracellular ATP is crucial for plant root growth and signaling.
Moisture makes hair flexible for reshaping during blowouts.
79 citations
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January 2015 in “Journal of Materials Chemistry B” Smart biomaterials that guide tissue repair are key for future medical treatments.
November 2025 in “Frontiers in Immunology” Stem cell activity influences autoimmune disease outcomes by affecting immune responses and tissue regeneration.
January 2026 in “Pattern Recognition” The new method improves accuracy in segmenting scalp tissue layers.
Transfer learning with three neural network architectures accurately classifies hair diseases.
5 citations
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June 2023 in “Engineering Technology & Applied Science Research” The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
The model accurately predicts hair loss severity in alopecia areata.
May 2023 in “Indian journal of science and technology” The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
April 2026 in “Scientific Reports” MSF-VMDNet accurately segments skin cancer images better than existing methods.
2 citations
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January 2024 in “Journal of Emerging Investigators” A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
3 citations
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October 2021 in “Research Square (Research Square)” The model can effectively help diagnose meibomian gland dysfunction automatically.
The model accurately identifies hair diseases using deep learning.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
7 citations
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October 2023 in “Journal of Intelligent & Fuzzy Systems” The new model improves Alopecia Areata classification accuracy to 93.1%.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
9 citations
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March 2014 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The new image descriptor helps identify skin cancer structures with good accuracy.