5 citations
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July 2023 in “Journal of Autonomous Intelligence” This study evaluates a framework using neural networks and machine learning techniques to classify and detect Alopecia Areata from hair images, aiming for accurate differentiation between healthy hair and the condition.
July 2022 in “International Journal of Applied Pharmaceutics” This research explored the use of machine learning and deep learning methods to accurately identify alopecia areata in humans by analyzing facial images and demonstrated the potential of these techniques for medical, security, and commercial applications.
4 citations
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March 2022 in “Dermatology and Therapy” This study found that alopecia areata severity significantly influences the health-related quality of life impacts and treatment patterns among affected individuals.
2 citations
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August 2022 in “JAAD case reports” This review discusses vaccine safety concerns for individuals with autoimmune and inflammatory conditions, noting vaccine hesitancy due to observed exacerbations post-vaccination and a lack of comprehensive trial data.
April 2025 in “International Journal of Homoeopathic Sciences” In this case report, a 7-year-old boy with patchy hair loss due to alopecia areata showed significant hair regrowth and improvement in psychological well-being after a holistic homeopathic treatment identified emotional distress as a root cause.