January 2026 in “ITM Web of Conferences” Better datasets and methods are needed for reliable vitiligo detection using deep learning.
June 2024 in “Nature Cell and Science” The Scalp Coverage Scoring method reliably measures hair density from images.
2 citations
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February 2018 Raman spectroscopy can help identify cancerous skin tissue during surgery.
110 citations
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January 1983 in “Brain Research Reviews” Monkey lips have dense sensory nerves similar to those in other skin areas, explaining their sensitivity.
1 citations
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September 2004 in “Physica D: Nonlinear Phenomena” The model can predict website market shares by identifying competition among them.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
January 2025 in “Nature Communications” Large-scale reconstructions enhance understanding of vibrissal sensory mapping in the brain.
2 citations
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January 2024 in “Proceedings of the National Academy of Sciences of the United States of America” The research created a detailed map of skin cells, showing that certain cells in basal cell carcinoma may come from hair follicles and could help the cancer grow.
April 2023 in “Journal of Investigative Dermatology” An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
21 citations
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September 2015 in “Journal of the European Academy of Dermatology and Venereology” Yellow and orange colors are important for diagnosing certain skin conditions.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
31 citations
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September 2012 in “Human Brain Mapping” People with Seasonal Affective Disorder have different brain activity in certain areas when resting.
27 citations
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December 2002 in “Journal of dermatological science” Merkel cells and Langerhans cells in hair follicles are closely connected and may interact.
2 citations
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November 2025 in “Comprehensive Reviews in Food Science and Food Safety” Combining advanced sensors with portable devices could enhance on-site food safety monitoring.
SLC24A5 shows a clear selective sweep, but no link to UV radiation intensity.
3 citations
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October 2021 in “Research Square (Research Square)” The model can effectively help diagnose meibomian gland dysfunction automatically.
April 2023 in “Journal of Investigative Dermatology” The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
4 citations
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December 2021 in “Electronics” The new method predicts post-hair transplant images more accurately than other methods.
April 2018 in “Journal of Investigative Dermatology” Sensitive scalp has higher pH, more redness, abnormal sebum, and altered bacterial makeup.
April 2018 in “International Journal of Research in Dermatology” Most patients with systemic lupus erythematosus in Malwa, India, show skin symptoms like photosensitivity and rashes.
Anifrolumab improves quality of life and reduces steroid use in lupus patients.
21 citations
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January 2008 in “Indian Journal of Dermatology Venereology and Leprology” 109 citations
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April 1997 in “Archives of Dermatological Research” Mast cell and nerve fiber interactions in mouse skin change with the hair cycle.
September 2017 in “Journal of Investigative Dermatology” QMSI effectively maps and quantifies drug distribution in skin tissues.
63 citations
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February 2010 in “Journal of Neurophysiology” Microstimulation of certain facial and mouth nerves can evoke specific sensations, while deeper nerves may require multiple stimulations to affect perception.
2 citations
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July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
18 citations
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April 2014 in “Stem cells” The study found stem cells in minor salivary glands that can differentiate and are involved in tumor formation when exposed to tobacco.
A new CNN model can detect Alopecia Areata with 98% accuracy.
July 2024 in “Medical alphabet” The SBN system effectively assesses alopecia areata severity and predicts its course.