December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
December 2025 in “British Journal of Dermatology” 33 citations
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August 2000 in “Experimental Cell Research”
June 2023 in “Frontiers in Bioengineering and Biotechnology” The conclusion is that accurately replicating the complexity of the extracellular matrix in the lab is crucial for creating realistic human tissue models.
June 2025 in “British Journal of Dermatology” The new AI software predicts melanoma outcomes more accurately than traditional methods.
5 citations
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October 2008 in “Australasian Journal of Dermatology” Doctors need to understand statistics to properly evaluate clinical trials for patient care.
3D models from confocal microscopy improve melanoma detection on sun-damaged skin.
6 citations
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August 2001 in “PubMed” The stump-tailed macaque is a good model for studying human hair loss, but it's expensive and hard to find, while rodent models are promising for understanding hair growth and finding new treatments.
January 2009 in “The Chinese Journal of Modern Applied Pharmacy” The Potts-Guy model best predicts skin permeability for the tested drugs.
17 citations
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May 1998 in “Steroids” Researchers developed a model to predict how well certain compounds can block an enzyme related to hair loss and prostate issues, suggesting a 50 mg dose of finasteride might be effective based on lab and body data.
20 citations
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January 2009 in “Chemical Papers” Both HPSAM and PLS methods accurately measure minoxidil and tretinoin concentrations.
September 2025 in “International Journal of Medical Informatics” A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
1 citations
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December 2016 Researchers created a model to understand heart aging, highlighting key genes and pathways, and suggesting miR-208a as a potential heart attack biomarker.
November 2025 in “Frontiers in Animal Science” A new model accurately predicts water intake in hair sheep using dry matter intake.
3 citations
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April 2023 in “Cytotechnology”
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.
1 citations
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January 2017 in “International Journal of Trichology” A new mutation caused a rare hair disorder in a Polish girl, not inherited from her family.
The document explains how to measure sales and marketing success and warns about misusing these measurements.
127 citations
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April 1999 in “Journal of Investigative Dermatology” Rodent models helped understand psoriasis but none perfectly replicated the disease.
Higher cannabis exposure may worsen hair loss.
39 citations
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August 2011 in “Journal of Visualized Experiments” 3D human skin models better mimic real skin and melanoma progression than 2D or mouse models.
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
9 citations
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September 2022 in “Frontiers in Physics” The technique accurately identifies and evaluates hair follicle structures in skin.
Higher cannabis exposure may lead to increased hair loss.
4 citations
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December 2024 in “Protein & Cell” MultiKano accurately identifies cell types in complex data better than existing methods.
6 citations
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September 2025 in “Scientific Reports” Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
December 2016 in “RepositóriUM (Universidade do Minho)” Simulations of hair keratin help improve disease treatment and cosmetic products.
129 citations
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January 2007 in “Otology & Neurotology” Gene therapy with the Math1 gene helped regenerate balance-related cells and improve balance in mice.
20 citations
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May 2011 in “Journal of Clinical Investigation” The study created a mouse model to mimic degenerative diseases for testing tissue repair and new therapies.
New methods to classify curly hair types were developed based on shape and strength.