August 2020 in “Research Square (Research Square)” Neural progenitor cell-derived nanovesicles help hair growth by activating a key signaling pathway.
1 citations
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December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
December 2023 in “Modern engineering and innovative technologies” 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.
5 citations
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December 2016 in “Microscopy Research and Technique” EPI-NCSCs from hair follicles may help treat brain development issues in mice.
June 2024 in “The American journal of psychiatry” Schizophrenia risk genes may affect early brain development, contributing to the disease.
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
11 citations
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December 2016 in “Journal of Molecular Neuroscience”
January 2023 in “Türkiye klinikleri adli tıp ve adli bilimler dergisi” DNA markers can help predict male pattern baldness, useful in criminal and missing person cases.
November 2023 in “Research Square (Research Square)” NIR-II imaging effectively tracked stem cells that helped repair facial nerve defects in rats.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
7 citations
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January 2017 in “Stem Cells International” Neural organoids show promise for future CNS disease treatments.
48 citations
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May 2015 in “PLOS ONE” DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.
August 2025 in “BMC Pharmacology and Toxicology” The LTF gene may help predict and manage nonspecific orbital inflammation.
12 citations
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September 2012 in “Computer Graphics Forum” The method improves hair animation from video by combining image techniques and simulations.
16 citations
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November 2024 in “Human Genetics and Genomics Advances” Nociplastic pain is a complex, heritable trait with genetic links to chronic and neuropathic pain.
October 2025 in “Frontiers in Artificial Intelligence” "HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
January 2002 in “Europe PMC (PubMed Central)” The model successfully simulates human hair growth and patterns, including hair loss types.
1 citations
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February 2025 in “Journal of the Neurological Sciences” Beta-trace protein may help diagnose and predict treatment response in certain nerve disorders.
13 citations
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December 2020 in “PLoS ONE” Genetic factors influence growth and brain development in children.
January 2026 in “Open Science Framework” 1 citations
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May 2024 in “Human Genomics” Polygenic risk scores can predict the risk and outcomes of benign prostatic hyperplasia.
January 2025 in “ACS Applied Materials & Interfaces” Nanoparticles with specific drugs can help regrow hair in alopecia areata.
June 2025 in “British Journal of Dermatology” ALUDWIG can help standardize female hair loss assessment from a single image.
2 citations
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April 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.
November 2025 in “SHILAP Revista de lepidopterología” Animal and mathematical models help understand and develop treatments for alopecia areata.
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.
352 citations
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August 2003 in “Proceedings of the National Academy of Sciences” Nestin is found in hair follicle progenitor cells, linking them to neural stem cells.
Machine learning can improve early and accurate detection of PCOS.
January 2015 in “프로그램북(구 초록집)” Two patients with stubborn hair loss grew hair after PDRN injections.