6 citations
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January 2022 in “Database” The data set helps improve predictions of how substances are absorbed through pig skin.
25 citations
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April 2021 in “npj Regenerative Medicine” Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.
June 1967 in “Journal of Cellular Physiology” The 3D hair follicle model improves understanding of hair growth and drug testing.
4 citations
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July 2024 in “Radiotherapy and Oncology” A standardized scoring system is needed to improve model reliability for predicting hair loss in brain tumor patients treated with proton therapy.
1 citations
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December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
223 citations
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October 2020 in “Microsystems & Nanoengineering” Microtechnology methods improve organoid production for medical research.
5 citations
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March 2022 in “Clinical Cosmetic and Investigational Dermatology” The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
1 citations
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March 2018 in “F1000Research” Diabetic neuropathy in mice is linked to poor mitochondria function and lower brain hormone production.
19 citations
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December 2015 in “Journal of Investigative Dermatology” The protein p53 directly reduces the production of Keratin 17, a skin and hair protein, in rats with radiation dermatitis.
2 citations
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March 2019 in “Lasers in surgery and medicine” Higher light doses cause more damage to hair follicles, predicting better hair removal results.
April 2016 in “Journal of Investigative Dermatology” Tumor cell adhesion is linked to higher risk of SLN metastasis and melanoma recurrence, and a model including these factors predicts these outcomes better than one with just clinical data.
December 2020 in “Journal of The American Academy of Dermatology” Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
Better models and evaluation methods for alopecia areata are needed.
17 citations
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May 2025 in “MedComm” Organoid technology is improving personalized medicine by better predicting drug responses and treatments.
3 citations
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February 2023 in “Journal of Investigative Dermatology” Ch55 may help reduce skin scarring and fibrosis.
June 2025 in “Reports of Morphology” Body structure can help identify alopecia areata in Ukrainian men, but not predict its course.
4 citations
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October 2021 in “International Journal of Cosmetic Science” Cirsium japonicum flower extract increases melanin production and could help treat depigmentation conditions.
2 citations
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July 1994 in “Journal of Dermatological Science” Grafted human scalp samples on mice can produce human hair, useful for studying hair genetics.
61 citations
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May 2014 in “International journal of pharmaceutics” Nanocrystals improve skin penetration and stability of caffeine, suggesting a new method for delivering similar substances through the skin.
January 2026 in “Frontiers in Drug Discovery” Transforming skin disease treatment requires new strategies, better drug models, and patient-focused research.
June 2023 in “International journal on recent and innovation trends in computing and communication” Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
51 citations
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March 2018 in “Journal of Investigative Dermatology” Current murine models need improvement for better human wound healing research translation.
1 citations
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September 2021 in “Journal of Cosmetic Dermatology” B-mode ultrasonography and shear-wave elastography can help predict androgenetic alopecia early.
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
32 citations
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September 2018 in “Journal of pharmaceutical sciences” The model better predicts how water-loving and fat-loving substances move through the skin by including tiny pores and hair follicle paths.
2 citations
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January 2024 AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
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.
December 2022 in “Geriatrics” Good communication helps predict successful aging in older Indonesians.
April 2013 in “The Journal of Urology” Researchers created a simple tool to predict bladder blockage from prostate enlargement using urine flow rate and prostate volume.