26 citations
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March 1995 in “Differentiation” A rabbit gene important for hair development was identified and detailed.
14 citations
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April 2019 in “PLOS ONE” Skin cancer is common in elderly nursing home residents, with risk factors including being male, having light skin, outdoor work history, and smoking. Regular skin checks are recommended.
7 citations
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February 2024 in “The Journal of Physiology” Reduced plakoglobin and steroid abuse increase the risk of heart rhythm issues.
September 2025 in “Matics Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology)” Random Forest Regression is best for predicting baldness risk.
The model accurately predicts hair loss by analyzing various factors.
26 citations
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September 2002 in “Dermatologic Surgery” Male pattern baldness affects 38.52% of Asian men in Bangkok, increasing with age and influenced by genes and environment.
April 2011 in “Vestnik dermatologii i venerologii” Certain gene variations and irregular X chromosome activity may contribute to hair loss in women who can have children.
December 2010 in “Vestnik dermatologii i venerologii” Certain genes and X chromosome patterns may significantly contribute to the development of hair loss.
September 2002 in “Dermatologic Surgery” Male pattern baldness affects 38.52% of Asian men in Bangkok, increasing with age and possibly linked to environment and diet.
5 citations
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July 2019 in “Applied statistics/Journal of the Royal Statistical Society. Series C, Applied statistics” Case-only trees and random forests improve predictions of treatment effects in clinical trials.
February 2019 in “Dermatologic Surgery” 2 citations
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February 2023 in “International Journal of Cosmetic Science” Hair loss is more common in areas with multiple hair strands, especially in men.
March 2025 in “Wound Repair and Regeneration” The hydrogel scaffold improved skin flap healing and reduced inflammation.
January 2006 in “Chinese Journal of Aesthetic Medicine” Zinc improves skin flap survival in rats.
12 citations
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August 2015 in “Plastic Surgery” Botulinum toxin may help reduce skin flap damage caused by cigarette smoke.
2 citations
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August 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The Aligned membranes improved wound healing and hair growth with a better immune response in mice.
2 citations
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September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
Machine learning can accurately predict hair loss early, improving treatment options.
AI can improve alopecia areata diagnosis with high accuracy.
April 2025 in “Science Journal of University of Zakho” Inflammatory diets may increase the risk and severity of alopecia areata.
A hat with sensors can measure scalp moisture well, helping with hair care.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
20 citations
,
September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
September 2023 in “JP Journal of Biostatistics” The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
1 citations
,
February 2023 in “Frontiers in Endocrinology” Childhood growth hormone deficiency can be accurately diagnosed using gene expression data and random forest analysis.
2 citations
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January 2008 in “Journal of Society of Cosmetic Chemists of Japan” PMS nanoparticles improve damaged hair by protecting and restoring its surface and color.
January 2024 in “Wiadomości Lekarskie” Thyroid disorders, especially autoimmune ones, are very common in the studied group.
January 2007 in “Pharmaceutical Journal of Chinese People's Liberation Army” The two finasteride tablets are bioequivalent.
January 2004 in “Chinese Journal of New Drugs and Clinical Remedies” The two finasteride tablet brands are bioequivalent.
Collider bias can mislead our understanding of COVID-19 risk and severity.