2 citations
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March 2017 in “Sultan Qaboos University medical journal” An infant had two different natural hair colors on the scalp with no health issues.
Microbial imbalances on the scalp can help diagnose and manage hair loss early.
February 2025 in “Skin Research and Technology” New non-invasive techniques can improve diagnosis and treatment of scalp and hair diseases.
January 2022 in “Research Square (Research Square)” Serum AMH levels are a strong marker for diagnosing PCOS in Indian women.
July 2024 in “Journal of Education For Sustainable Innovation” Visualizing data helps guide future androgenetic alopecia research and policies.
2 citations
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December 2017 in “The journal of investigative dermatology. Symposium proceedings/The Journal of investigative dermatology symposium proceedings” The conclusion is that a new method could improve the identification of autoimmune targets in alopecia areata, despite some limitations.
June 2025 in “British Journal of Dermatology” The new AI software predicts melanoma outcomes more accurately than traditional methods.
8 citations
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January 2020 in “PeerJ” Alopecia Areata causes significant structural and compositional changes in hair.
8 citations
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January 2013 in “International journal of trichology” Two people had unusual ring-shaped hair loss due to an autoimmune disorder.
April 2025 in “Sabuncuoglu Serefeddin Health Sciences” Anabolic steroid misuse is a major health issue causing severe health problems and requires better awareness and monitoring.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
January 2026 in “International Journal of Dermatology Research” Early recognition of loose anagen hair syndrome is important to prevent misdiagnosis and unnecessary treatments.
23 citations
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January 2008 in “Skin Pharmacology and Physiology” Optical coherent tomography can effectively detect steroid use by analyzing hair changes.
April 2020 in “Journal of the Endocrine Society” The patient with a misplaced pituitary gland and interrupted pituitary stalk is being treated with hormone replacement.
February 2024 in “Skin research and technology” LC-OCT is a promising tool for diagnosing and monitoring Alopecia areata.
16 citations
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December 2016 in “ecancermedicalscience” Hair analysis may help detect breast cancer early by identifying changes in lipid content.
Non-invasive methods can effectively diagnose and manage alopecia areata.
21 citations
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September 2021 in “Fertility and Sterility” A blood test level of 3.2 ng/mL of Antimüllerian hormone is good for identifying polycystic ovarian morphology in European women aged 25–45.
13 citations
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August 2021 in “Frontiers in Aging Neuroscience” Hearing decline in SAMP8 mice starts before outer hair cell loss and may be linked to other changes.
November 2024 in “Journal of Investigative Dermatology” Certain NK cell changes in blood may indicate alopecia areata progression.
55 citations
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August 2003 in “Ultrasound in Obstetrics and Gynecology” Ultrasound and color Doppler can help diagnose and decide treatment for early puberty in young girls.
28 citations
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November 2018 in “American Journal of Medical Genetics Part A” ODC1 gene mutations cause a neurodevelopmental disorder with large head size, hair loss, and facial abnormalities.
15 citations
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October 2010 in “Archives of Toxicology” A yeast-based test can detect the steroid methyltestosterone in urine longer than traditional methods.
December 2019 in “Periodicals of Engineering and Natural Sciences (PEN)” Hair analysis can provide insights into a person's medical history and location over time.
17 citations
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June 2014 in “Journal of Ultrasound in Medicine” Abnormal cuticle and hair shaft medulla cause hair loss in androgenetic alopecia; sonography helps diagnose and manage it.
84 citations
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February 2013 in “Clinica chimica acta” Hair mineral analysis might help diagnose diseases early, but standard methods are needed.
Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.
December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
1 citations
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January 2024 in “IEEE access” The new method improves facial image restoration quality and face recognition accuracy.
6 citations
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November 2022 in “Forensic Science Medicine and Pathology” Genetic markers can help predict ear shapes for forensic use.