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April 2011 in “International journal of legal medicine” In situ DNA labeling in hair can help predict forensic DNA analysis success.
June 2026 in “International Journal of Computational and Biological Sciences” A new tool using ultrasound and clinical data better predicts early diabetic kidney injury.
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September 2025 in “Journal of Ultrasound in Medicine” AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.
January 2009 in “Heilongjiang xumu shouyi” Stem cells are present in goat hair follicles but decrease over time.
January 2022 in “Journal of Pharmaceutical Negative Results” The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
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March 2022 in “Genome biology” scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
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October 2023 in “Journal of Intelligent & Fuzzy Systems” The new model improves Alopecia Areata classification accuracy to 93.1%.
July 2026 in “Journal of the American Academy of Dermatology”
June 2024 in “World Journal of Management Science” Data visualization tools are crucial for understanding and advancing androgenetic alopecia research.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
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January 1998 in “EXPERIMENTAL ANIMALS” The skin of both rat strains showed similar lectin binding patterns.
April 2023 in “JMIR Research Protocols” The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
April 2026 in “International Journal of Engineering Research and Science & Technology” The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
Off-label drug use can be risky but sometimes beneficial when standard treatments fail.
A machine-learning test using hair can help detect autism early in infants.
The model accurately predicts hair loss severity in alopecia areata.
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January 2024 in “IEEE Access” AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
March 2026 in “Mendeley Data” rwSALT provides precise hair regrowth measurement from scalp photos.
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April 1982 in “Genetics Research” Mice with the naked gene have missing or abnormal hair cells.
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September 2023 in “Aging” Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.
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August 1979 in “Journal of The American Academy of Dermatology” A new staining method helps tell growing from resting hairs to diagnose hair loss.
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March 2024 in “arXiv (Cornell University)” The new AI system improves remote skin condition diagnosis and access to care.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
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May 2018 in “International Journal of Molecular Sciences” The research showed how melanocytes develop, move, and respond to UV light, and their stem cells' role in hair color and skin cancer risk.
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October 2018 in “Thérapie” Enriching the French health care database with external data greatly improved its usefulness.
January 2026 in “Journal of Hair Restoration and Regenerative Medicine” Hair transplantation is unsafe for diffuse unpatterned alopecia; focus on medical treatment and reassessment.
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September 2025 in “Scientific Reports” Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
Machine learning can accurately tell apart False Daisy and Smooth Joy Weed.