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December 2025 in “Scientific Reports” A machine learning model can predict alopecia areata early using specific gene markers.
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.
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November 2022 in “Scientific reports” Using gelatin sponges for deep skin wounds helps bone marrow cells repair tissue without scarring.
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March 2005 in “Journal of the American Academy of Dermatology” The lotion and shampoo effectively treated scalp seborrheic dermatitis.
New insights into cell communication in psoriasis suggest innovative drug treatments.
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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.
September 2025 in “International Journal of Medical Informatics” A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
June 2022 in “Frontiers in Genetics” Machine learning is effective in predicting gene functions and their relationships with diseases.
November 2021 in “Frontiers in Genetics” The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
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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.
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July 2022 in “Sensors” Machine learning can effectively predict type 2 diabetes risk.
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August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
Machine learning can accurately predict hair loss early, improving treatment options.
April 2025 in “Science Journal of University of Zakho” Inflammatory diets may increase the risk and severity of alopecia areata.
The system can automatically identify different hair and scalp conditions using machine learning.
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September 2024 in “Journal of intelligent medicine.” Rational design strategies are crucial for developing effective nanozymes for anti-inflammatory uses.
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November 2014 Common cosmetic dermatology techniques improve skin damaged by the sun and aging.
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December 2022 in “International Journal of Molecular Sciences” Afatinib, neratinib, and zanubrutinib could be effective against KRASG12C-mutant tumors.
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December 2000 in “PubMed” The biology of skin and hair is complex and not fully understood.
August 2025 in “BMC Pharmacology and Toxicology” The LTF gene may help predict and manage nonspecific orbital inflammation.
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January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
January 2026 in “Archives of Dermatological Research” 5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
January 2026 in “Cosmetics” New regenerative treatments show promise in improving hair growth for androgenetic alopecia.
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
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September 2024 in “arXiv (Cornell University)” Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
January 2026 in “Microsystems & Nanoengineering” New technologies replicate human skin for testing without animals.
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February 2025 in “Biomimetics” Robotic surgery in plastic and reconstructive procedures improves precision and outcomes but faces challenges like high costs and long operating times.
December 2025 in “Pharmaceutics” Personalized skin rejuvenation using genomics shows promise but needs more research.