July 2018 in “Current Analytical Chemistry” The method effectively detects minoxidil in hair-growth products.
October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
14 citations
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May 2013 in “American Journal of Physiology-endocrinology and Metabolism” Removing myelin protein zero-like 3 in mice leads to better metabolism and resistance to obesity.
December 2023 in “LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)” Both photobiomodulation and low-frequency treatments effectively reduce body measurements.
13 citations
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January 2012 in “Dermatologic surgery” The trichometer is a quick and reliable tool for measuring hair quantity.
January 1992 in “Journal of Oriental Neuropsychiatry” People with schizophrenia have lower zinc, copper, and chromium in their hair.
April 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” QMSI is a valuable method for studying drug penetration in skin tissues.
January 2026 in “Journal of Biomedical Research” Small extracellular vesicles from stem and immune cells show promise for treating various diseases but face challenges in clinical use.
June 2022 in “International Journal of Research -GRANTHAALAYAH” Antioxidants like catalase are important for preventing hair loss conditions like alopecia.
June 1984 in “Clinical Biochemistry” Hair chromium levels might indicate chromium status and relate to glucose metabolism issues.
6 citations
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March 1991 in “Journal of Radioanalytical and Nuclear Chemistry” Manganese levels in hair may be linked to multiple sclerosis.
Human hair affects millimeter radiowaves due to its keratin content.
2 citations
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December 2019 in “Bioanalysis” Accurate quantitative bioanalysis using LC-MS/MS is challenging due to matrix effects, but using internal standards and new methods like in-sample calibration could improve results.
2 citations
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January 2011 in “프로그램북(구 초록집)” November 2023 in “Frontiers in Medicine” The method effectively mimics shaving damage on skin for testing skincare products.
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.
September 2024 in “Journal of the American Academy of Dermatology”
December 2025 in “Zenodo (CERN European Organization for Nuclear Research)” Male pattern baldness may be reversed by addressing scalp tension and improving blood flow.
February 2013 in “Journal of Visualized Experiments” The document's conclusion cannot be provided because the document is not available for analysis.
January 2026 in “SSRN Electronic Journal”
November 2023 in “Journal of Dermatological Science” A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
September 2015 in “Dermatologic Surgery” Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
April 2018 in “Journal of Investigative Dermatology” The conclusion is that a new method combining magnetic tweezers and traction force microscopy may help understand skin cell interactions and diseases.
January 2018 in “Journal of Clinical Dermatology” Women with Telogen Effluvium have lower levels of Zinc and Iron in their hair.
May 2024 in “International Journal of Cosmetic Science” A new method using near-infrared light can effectively detect and analyze internal hair damage.
Trichotillometry can measure hair plucking force, aiding alopecia treatment evaluation.
September 2010 in “Hair transplant forum international” Pre-operative ECG testing is important for hair transplant patients.
June 2023 in “British Journal of Dermatology” The prototype for analyzing skin aging works technically and clinically.
5 citations
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September 2023 in “Molecules” These methods help understand cell structures and reactions.
32 citations
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August 2016 in “Science Signaling” Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.