January 2024 in “Wiadomości Lekarskie” AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.
The system can automatically identify different hair and scalp conditions using machine learning.
January 2026 in “JAMA Dermatology” ICD codes for skin conditions vary in accuracy, needing better validation for some common conditions.
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.
July 2022 in “International Journal of Applied Pharmaceutics” Machine learning and deep learning can effectively diagnose alopecia areata.
151 citations
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August 2010 in “British Journal of Dermatology” Guidelines for diagnosing common hair loss include detailed history, clinical examination, and various diagnostic techniques.
3 citations
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September 2024 in “Journal of the European Academy of Dermatology and Venereology” Clinicians and researchers must stay informed about big data to improve dermatology care.
69 citations
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February 2021 in “PLoS Computational Biology” Securinine and ajmaline may effectively treat liver cancer, with securinine being less toxic to normal cells.
April 2024 in “Cognizance journal” The alexandrite laser effectively reduces unwanted hair by about 75%.
8 citations
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October 2018 in “Journal of The American Academy of Dermatology” The review suggests there's no agreed treatment for Frontal Fibrosing Alopecia, but hydroxychloroquine and 5a-reductase inhibitors are most effective. New treatments like platelet-rich plasma and LED light could help if standard treatments fail.
January 2022 in “European Proceedings of Life Sciences” Understanding genetic traits can help doctors create personalized detox and nutrition plans to boost antioxidant protection.
1 citations
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May 2023 in “Frontiers in endocrinology” A new MBTPS2 gene variant disrupts fat metabolism and collagen production, causing Osteogenesis imperfecta.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
36 citations
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September 2015 in “Forensic Science International: Genetics” Certain DNA variants can predict straight hair in Europeans but are not highly specific.
30 citations
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October 2015 in “Journal of Ethnopharmacology” Herbal compounds like ricinoleic acid, quercetin-3-O-rutinoside, and hinokiflavone may be safe and effective for treating hair loss.
20 citations
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September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
February 2026 in “Frontiers in Pharmacology” Genetics can help tailor treatments for male pattern hair loss, improving outcomes like stabilization or modest regrowth.
15 citations
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January 2014 in “Medicinal chemistry” Some new isatin compounds could be strong cancer-fighting drugs because they fit well in cancer-related proteins and have good drug-like properties.
6 citations
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March 2021 in “International Journal of Pharmaceutics” Optimal long-acting finasteride injection dose found: 16.8 mg, effective for one month.
1 citations
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June 2022 in “Jambura Journal of Mathematics” The Vogel Total Difference Approach Method helps reduce shipping costs in production delivery.
A rapid screening method using trichoscopy and clinical data can improve diagnosis and treatment of tinea capitis.
July 2025 in “Archives of Toxicology” The new skin model can predict how chemicals might cause skin allergies.
December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
January 2024 in “Research Square (Research Square)” Traditional Chinese medicine may help treat ischemic stroke by targeting specific genes and pathways.
2 citations
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March 2023 in “Research Square (Research Square)” Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
3 citations
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May 2023 in “Precision clinical medicine” Researchers found four genes that could help diagnose severe alopecia areata early.
124 citations
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March 2012 in “JAMA” Testosterone's muscle-building effects do not require its conversion to DHT.
52 citations
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February 2018 in “Diabetology & Metabolic Syndrome” Some skin conditions may indicate metabolic syndrome, which could help with early detection and management of related health issues.
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.