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October 2023 in “International Journal on Recent and Innovation Trends in Computing and Communication” The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
January 2026 in “Pattern Recognition” The new method improves accuracy in segmenting scalp tissue layers.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
An automated system can accurately classify hair disorders using image analysis.
31 citations
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October 2012 in “Archives of ophthalmology” Laser hair reduction near the eyebrows can cause serious eye injuries even with safety measures.
October 2017 in “Indian heart journal” Obesity is an independent risk factor for early coronary artery disease (CAD) and its severity is not affected by age.
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.
AI can improve alopecia areata diagnosis with high accuracy.
A new CNN model can detect Alopecia Areata with 98% accuracy.
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January 2006 in “The journal of investigative dermatology/Journal of investigative dermatology” Mutations in the DSG4 gene can cause a rare hair disorder similar to monilethrix.
A young athlete's fragile hair condition improved by cutting hair and using gentle shampoo.
January 2023 in “Journal of the College of Physicians and Surgeons Pakistan” A rare ovarian tumor was successfully treated with surgery and chemotherapy.
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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.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
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September 2025 in “Scientific Reports” Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
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March 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.
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July 2024 in “Revista Ibero-Americana de Humanidades, Ciências e Educação” No treatment works for everyone, and emotional support is crucial.
July 2022 in “International Journal of Applied Pharmaceutics” Machine learning and deep learning can effectively diagnose alopecia areata.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
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June 2023 in “Engineering Technology & Applied Science Research” The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
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January 1998 in “Dermatology” Ketoconazole shampoo improves hair growth and reduces oil similarly to minoxidil in male pattern hair loss.
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October 2010 in “Mammalian genome” Sphynx cats are hairless and Devon Rex cats have curly hair due to specific genetic mutations.
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June 2013 in “Scientific Reports” A gene variant in KRT71 causes the curly fur in Selkirk Rex cats.
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January 2007 in “Pediatric dermatology” Hair thinning and loss in a girl with a rare metabolic disorder was linked to her condition.
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August 1985 in “Archives of Dermatology” Acquired Progressive Kinking of Hair is likely an early sign of male pattern baldness.
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May 1998 in “Bulletin of the American College of Nurse-Midwifery” The document concludes that menopause should be seen as a natural part of aging and managed with personalized care and informed choices.
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January 2018 in “Acta dermato-venereologica” People with alopecia areata have higher levels of a heart disease marker than those without hair loss.
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September 2018 in “Medicine” Childhood ptosis can vary from a minor cosmetic issue to a serious condition and may signal other health problems.