An automated system can accurately classify hair disorders using image analysis.
2 citations
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January 2024 in “IEEE Access” AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
3 citations
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October 2021 in “Research Square (Research Square)” The model can effectively help diagnose meibomian gland dysfunction automatically.
3 citations
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July 2015 in “oURspace (University of Regina)” The method effectively grouped tweets into categories without knowing the number of groups beforehand.
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.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
20 citations
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December 2017 in “Journal of Investigative Dermatology Symposium Proceedings” Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
19 citations
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October 2024 in “BMC Medical Informatics and Decision Making” AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
1 citations
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May 2025 in “Journal of Digital Information Management” VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
9 citations
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February 2018 in “Forensic Science International” The study could not confirm if Victor Vinnetou was Mbuyisa Makhubu and suggested more evidence, like DNA tests, is needed.
8 citations
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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.
The model accurately identifies hair diseases using deep learning.
3 citations
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August 2024 in “Applied Sciences” A web platform was created to help diagnose scalp conditions accurately and easily.
December 2025 in “International Journal of Cosmetic Science” A new tool helps better assess and treat hair loss in Chinese men.
The model accurately predicts hair loss severity in alopecia areata.
8 citations
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January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
79 citations
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July 2022 in “Sensors” Machine learning can effectively predict type 2 diabetes risk.
4 citations
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June 2021 in “Scientific Reports” Hair fiber shape and curvature are not significantly linked when ancestry is considered.
January 2023 in “Frontiers research topics” Skin conditions can cause significant psychological distress, so addressing mental health is crucial for improving quality of life.
6 citations
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September 2019 in “Archives of Dermatological Research” Found 32 genes linked to male baldness, affecting hair growth and stress-related pathways.
1 citations
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May 2026 in “Nature Communications” CD19-CAR T cell therapy may help regenerate skin in systemic sclerosis.
April 2026 in “Nature Communications” Aged corneal cells can revert to a stem-like state to help repair tissue.
January 2025 in “Directory of Open access Books (OAPEN Foundation)” PCOS affects women's hormones and metabolism, but can be managed with lifestyle changes and treatments.
68 citations
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November 2015 in “The Journal of Allergy and Clinical Immunology” Blocking IL-12/IL-23p40 helped reverse severe hair loss in patients.
July 2026 in “npj Regenerative Medicine” Gli2 and Serpinh1 are key for skin wound healing by helping fibroblasts close wounds.
April 2026 in “npj Parkinson s Disease” VPS13C variants are linked to more severe REM sleep disorder and faster progression to Parkinson's disease.
March 2026 in “Aesthetic Plastic Surgery” AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.
December 2025 in “Scientific Reports” Cedrol may help reduce liver fat and fat cell growth caused by corticosteroids.
11 citations
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November 2015 in “Skin Research and Technology” Women's hair grows faster and thicker than men's, but hair growth slows for both genders with pattern hair loss.
6 citations
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October 2024 in “npj Digital Medicine” Long-COVID causes more health issues after COVID-19, varying by age, sex, and infection wave.