5 citations
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May 2022 in “Diagnostics” Certain genetic markers can indicate higher or lower risk for systemic lupus erythematosus.
January 2010 in “The Chinese Journal of Dermatovenereology” Androgenetic alopecia is more common in Chinese Han than in Chinese Yi in Liangshan.
4 citations
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July 2024 in “Skin Research and Technology” 1 citations
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January 2023 in “Frontiers in genetics” Certain genetic markers linked to wool quality in Rambouillet sheep were identified, which can guide better breeding choices.
January 2024 in “Kafkas Universitesi Veteriner Fakultesi Dergisi” A specific genetic variation affects wool quality in sheep.
19 citations
,
February 2018 in “International Journal of Endocrinology and Metabolism” The questionnaire is valid and reliable but needs more testing for future predictions.
2 citations
,
November 2024 in “PLoS ONE” Genomic prediction can improve breeding strategies for Korean Sapsaree dogs.
5 citations
,
November 2025 in “Cells” Advancements in wound healing aim to improve personalized treatments and enhance healing outcomes.
1 citations
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November 2024 in “Bone Reports” Cellularity can estimate mesenchymal stem cell concentration in bone marrow, aiding regenerative medicine.
July 2022 in “Biomedicines” 4-Aminopyridine improves skin wound healing and tissue regeneration by increasing cell growth and promoting nerve repair.
May 2020 in “Fertility and Sterility” Nonobese, normotensive Indian women with PCOS may have a higher risk of heart problems linked to inflammation and insulin resistance.
February 2026 in “Journal of Cosmetic Dermatology” A new reliable scale improves accuracy in measuring hair density and treatment response.
June 2025 in “Skin Research and Technology”
2 citations
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January 2024 in “Journal of Emerging Investigators” A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
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.
6 citations
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March 2007 in “BioTechniques” PCR genotyping in cre-loxP mice can be inaccurate due to unintended gene deletions in non-target tissues.
3 citations
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November 2018 in “The Journal of Clinical Psychiatry” Odds Ratios can be misleading; it's better to also present risk and Relative Risks for clarity.
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.
2 citations
,
April 2022 in “African Health Sciences” The Fatty Liver Index (FLI) may not be enough to rule out non-alcoholic fatty liver disease in lean women with polycystic ovary syndrome.
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
June 2025 in “Reports of Morphology” Body structure can help identify alopecia areata in Ukrainian men, but not predict its course.
October 2025 in “Clinical and Experimental Dermatology” Low-dose oral minoxidil significantly improves hair density in non-scarring alopecia.
July 2025 in “Journal of Investigative Dermatology” Low-dose oral minoxidil is safe for the heart in the short term for hair loss patients.
Greater concern about hair loss is linked to more severe hair loss and worse quality of life.
November 2025 in “Clinical Cosmetic and Investigational Dermatology” LIPH mutations cause woolly hair in some Chinese people.
13 citations
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October 2024 in “Scientific Reports” Early diagnosis and personalized treatment for PCOS are crucial, especially for young women in West Bengal, India.
January 2021 in “arXiv (Cornell University)” Self-supervised learning improves medical image classification accuracy.
January 2013 in “Japan labor review” The study created a numerical system to describe and compare 601 jobs in Japan.
37 citations
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December 2014 in “Journal of Biomedical Informatics” Researchers created LabeledIn, a detailed list of drug uses, showing the importance of human input in making such lists.
A new CNN model can detect Alopecia Areata with 98% accuracy.