3 citations
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June 2024 in “Journal of Neuroendocrinology” Many women with PCOS have abnormal cholesterol levels, needing careful management.
3 citations
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February 2023 in “International Journal of Molecular Sciences” Autologous Platelet and Extracellular Vesicle-Rich Plasma (PVRP) has potential in enhancing tissue regeneration and improving hair conditions, but its effectiveness varies due to individual differences.
1 citations
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October 2025 in “Micromachines” Portable point-of-care testing can improve quick and accurate genetic disorder detection.
1 citations
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September 2025 in “International Journal of Molecular Sciences” Cells from concentrated growth factor can become different cell types.
1 citations
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December 2020 in “Case reports in dermatological medicine” A patient with pemphigus vulgaris improved significantly after treatment for an additional viral skin infection.
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January 2017 in “Journal of rare disease research & treatment” Obesity is common in PCOS patients and early treatment is important for their heart and metabolic health.
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July 2007 in “Journal of Investigative Dermatology” The mutation causes hairless mice due to mislocalized and dysfunctional HR protein.
May 2025 in “Journal of Photochemistry and Photobiology B Biology” Blue LED light improves hair treatments for Caucasian and Asian hair but not for African hair.
July 2024 in “Journal of Investigative Dermatology” CD8+ T cells expand significantly in alopecia areata, suggesting new treatment targets.
May 2024 in “Physiologia Plantarum” Bacillus subtilis helps plants get more phosphorus and grow better roots.
March 2024 in “Current issues in molecular biology” Personalized medicine in dermatology uses molecular biomarkers to improve diagnosis and treatment but needs further advancements for practical use.
Melatonin improves tomato root growth and plant health at certain levels by affecting genes and hormones but can damage roots at high levels.
Melanoma characteristics vary by age, which could help doctors with diagnosis and prevention.
9 citations
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March 2014 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The new image descriptor helps identify skin cancer structures with good accuracy.
2 citations
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January 2018 in “International Journal of ChemTech Research” The two Eclipta alba varieties can be distinguished by their chemical differences.
46 citations
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December 2018 in “Biomedical Optics Express” Raman spectroscopy could effectively guide skin cancer surgery by identifying tumor margins.
January 1992 in “Journal of Oriental Neuropsychiatry” People with schizophrenia have lower zinc, copper, and chromium in their hair.
September 2001 in “Dermatologic Surgery” Scalp surgery guidelines ensure best cosmetic results and fewer complications.
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September 2004 in “Physica D: Nonlinear Phenomena” The model can predict website market shares by identifying competition among them.
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November 2024 Machine learning can accurately predict mental disorders.
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.
79 citations
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July 2022 in “Sensors” Machine learning can effectively predict type 2 diabetes risk.
Machine learning can improve early and accurate detection of PCOS.
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.
September 2024 in “arXiv (Cornell University)” Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
December 2022 in “IntechOpen eBooks” Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
37 citations
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October 2015 in “European Journal of Human Genetics” Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
5 citations
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May 2018 in “Statistics in Medicine” Model improves accuracy in predicting hair loss effects.
8 citations
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December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.