April 2026 in “International Journal of Engineering Research and Science & Technology” The study introduces an Explainable Artificial Intelligence (XAI)-based system for diagnosing hair disorders, addressing the limitations of conventional methods that often overlook the complex interplay of factors like genetics and stress. Utilizing the Flask web framework, the system employs various machine learning algorithms and introduces a novel hybrid Probabilistic Ensemble Deep Learning (PEDL) model, which combines a Probabilistic Neural Network with a Sparse Representation Classifier. This model achieves a high accuracy of 0.9950, surpassing traditional approaches. The integration of XAI techniques allows for transparent predictions, identifying key factors, assessing risks, and providing personalized recommendations for hair loss evaluation, treatment, and hormonal impact analysis.
3 citations
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July 1997 in “Current problems in dermatology” Hair restoration surgery has evolved over time, with a focus on natural-looking results and managing patient expectations, while also considering potential complications and the lifelong progression of male pattern baldness.
125 citations
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May 2007 in “Journal of The American Academy of Dermatology” The BASP classification is a detailed and accurate way to categorize hair loss in both men and women.
March 2024 in “medRxiv (Cold Spring Harbor Laboratory)” Recent selection on immune response genes was identified across seven ethnicities.
2 citations
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June 2019 in “International Journal of Dermatology” The modified hair loss classification is more detailed but less user-friendly.
November 2023 in “Linköping University medical dissertations” Keratinocytes and adipose-derived stem cells can effectively heal difficult skin wounds.
2 citations
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September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
November 2018 in “Springer eBooks” Finasteride and minoxidil are effective, low-risk treatments for male hair loss, and patient education on these therapies is important.
5 citations
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January 2020 in “Journal of Dermatology” Temporal hair loss relates to overall scalp hair loss in women.
December 2022 in “Nature Communications” Bead-jet printing of stem cells improves muscle and hair regeneration.
26 citations
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December 2011 in “Journal of Investigative Dermatology” New gene identification techniques have improved the understanding and classification of inherited hair disorders.
6 citations
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September 2024 in “Frontiers in Physiology” Overexpression of R-spondin 3 leads to sparse hair and impaired hair regeneration.
6 citations
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June 2013 in “British Journal of Dermatology” Intense pulsed light treatment mainly damages pigmented hair parts but spares stem cells, allowing hair to regrow.
December 2023 in “American journal of medical genetics. Part A” A new syndrome was linked to two new genetic changes in the MBTPS1 gene in a 14-year-old girl.
1 citations
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January 2022 in “Annals of Dermatology” Dutasteride is more effective than finasteride for long-term hair growth in men with androgenic alopecia.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
2 citations
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December 2018 in “International Journal of Dermatology” New grading scale accurately measures hair loss severity and treatment effectiveness.
2 citations
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December 2023 in “Royal Society of Chemistry eBooks” Hair is a complex organ, and understanding its detailed structure and growth phases is crucial for analyzing substances within it.
150 citations
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October 2010 in “The American Journal of Pathology” The document concludes that more research is needed to better understand and treat primary cicatricial alopecias, and suggests a possible reclassification based on molecular pathways.
61 citations
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June 2022 in “IEEE Journal of Biomedical and Health Informatics” The new method improves skin cancer detection in imbalanced datasets.
3 citations
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November 2023 in “Journal of Computer Science and Engineering (JCSE)” The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
232 citations
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January 2016 in “BMC Bioinformatics” The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
1398 citations
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May 2008 in “Histochemistry and Cell Biology” Keratins are crucial for cell stability, wound healing, and cancer diagnosis.
12 citations
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November 2014 in “PLOS Computational Biology” The study concluded that hair growth in mice is regulated by a stable interaction between skin cell types, and disrupting this can cause hair loss.
January 2017 in “Springer eBooks” The document concludes that Cutaneous Lupus Erythematosus has different forms, is influenced by genetic and environmental factors, and can be treated with various medications, but more targeted therapies are needed.
27 citations
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June 2020 in “Genes” Lykoi cats' unique sparse hair is linked to specific genetic variants in the Hairless gene.
February 2026 in “Journal of Cosmetic Dermatology” A new reliable scale improves accuracy in measuring hair density and treatment response.
8 citations
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December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
16 citations
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August 2012 in “The journal of investigative dermatology/Journal of investigative dermatology” MED1 is essential for normal hair growth and maintaining hair follicle stem cells.
February 2025 in “Journal of Investigative Dermatology” The ZIP13 variant is linked to abnormal hair quality.