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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June 2025 in “ACS Biomaterials Science & Engineering” Encapsulating cell-free fat extract in GelMA hydrogel improves skin flap survival in mice.
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.
An automated system can accurately classify hair disorders using image analysis.
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
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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.
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
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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.
79 citations
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July 2022 in “Sensors” Machine learning can effectively predict type 2 diabetes risk.
27 citations
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July 1994 in “Human Pathology” Understanding chaos and control mechanisms in disease can improve diagnosis and prediction in medicine.
19 citations
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March 2018 in “JAMA” Treat hirsutism in premenopausal women with oral contraceptives and consider additional treatments if needed.
7 citations
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July 2017 in “bioRxiv (Cold Spring Harbor Laboratory)” Passage numbers affect cell growth and experiment results.
May 2026 in “International Journal of Drug Delivery Technology” Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.