2 citations
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March 2016 in “The Journal of Dermatology” The Facial Psoriasis Log-based Area and Severity Index is a more effective way to measure improvements in facial psoriasis than the traditional method.
1 citations
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August 2025 Drug repurposing can speed up and reduce costs in drug discovery, especially for cancer treatment.
7 citations
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June 2004 in “Dermatologic Surgery” A new hair transplant method combines individual and group follicles for better results and efficiency.
September 2025 in “Value in Health” December 2020 in “Open Repository of the University of Porto (University of Porto)” 4 citations
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August 1999 in “Clinical Cosmetic and Investigational Dermatology”
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September 2023 in “Aging” Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.
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September 2002 in “Dermatologic Surgery” The evaluation system improved patient selection for hair loss surgery, leading to better results and satisfaction.
34 citations
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January 2016 in “Analytical Chemistry” A new method can quickly and accurately detect drugs in hair.
Moles may stop growing due to cell cooperation, not just because of individual cell aging.
June 2025 in “British Journal of Dermatology” Standardized forms and digital tools can improve alopecia biopsy diagnosis.
January 2020 in “Química Nova” The PW91 method is best for calculating the basic physical and chemical properties of Finasteride, a drug used for prostate issues and hair loss.
September 2025 in “Bioengineering” The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
May 2012 in “Scientific American” New app improves storm surge predictions; advances in baldness treatment show potential but require time.
January 2016 in “International journal of advanced research in chemical sciences” A new method using NBD-CL can accurately and precisely measure finasteride in medicine, and could be used regularly for quality control in the industry.
March 2026 in “Mendeley Data” rwSALT accurately measures hair regrowth in alopecia areata using scalp photos.
10 citations
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September 2020 in “Journal of the American Geriatrics Society” Natural language processing is the most accurate method for identifying falls in older adults in emergency departments.
April 2018 in “Journal of Ayurvedic and herbal medicine” Computational methods can speed up and improve the development and safety of herbal drugs.
89 citations
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December 2010 in “The Journal of Dermatology” The conclusion is that an algorithm using trichoscopy helps diagnose different types of hair loss but may need updates and a biopsy if results are unclear.
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June 2017 in “Pharmaceutical and Biological Evaluations” New methods for treating hair loss are being developed.
191 citations
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December 2003 in “Journal of Investigative Dermatology” Male pattern baldness is largely genetic, linked to the androgen receptor gene, and may relate to certain health issues.
March 2021 in “Research Square (Research Square)” Stress likely causes hair loss in Formosan macaques.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
January 2026 in “Psychoneuroendocrinology” Self-collected hair samples can measure stress but may need adjustments for accuracy.
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February 2020 in “Journal of pharmaceutical and biomedical analysis” The method accurately measures hormones and endocannabinoids in mice, showing gut microbiota diversity affects these levels and may influence stress and reproductive systems.
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November 2024 in “Saudi Pharmaceutical Journal” Adding baricitinib will increase costs but offers more treatment options for alopecia areata.
46 citations
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December 2018 in “Biomedical Optics Express” Raman spectroscopy could effectively guide skin cancer surgery by identifying tumor margins.
The review suggests the study on male pattern baldness needs more detail on sample size, methodology, bias, and ethical considerations.
April 2023 in “Journal of Investigative Dermatology” An automated system can predict death risk in thin melanoma by analyzing immune cells.
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.