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September 2000 in “International Journal of Retail & Distribution Management” The document concludes that understanding consumer-brand relationships is key for marketing and that perceived quality helps national brands maintain higher prices than store brands.
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April 2025 in “Frontiers in Immunology” Extracellular vesicles could offer precise treatments for psychiatric conditions by targeting brain networks.
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June 2021 in “Journal of the European Academy of Dermatology and Venereology” Use specific tools to measure quality of life in alopecia areata patients and improve future treatments.
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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.
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February 2023 in “Clinical and Experimental Dermatology” The tool to measure life quality for women with alopecia is reliable and accurate.
October 2023 in “Asian journal of pharmaceutical and clinical research” Standardized data is essential for diagnosing scalp and hair conditions in males.
November 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Androgenetic alopecia negatively impacts mental health, suggesting a need for psychological support in treatment.
The digital system for measuring melasma shows promise but needs more development for better accuracy and automation.
January 2026 in “International Journal of Dermatology” The new tool helps measure the impact of alopecia areata on children's quality of life.
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December 2022 in “Clinical, Cosmetic and Investigational Dermatology” Midscalp hair density and terminal hair percentage are good indicators of female pattern hair loss severity.
November 2019 in “Journal of Vertebrate Biology” QIA-64 software can measure straight wire lengths accurately but needs improvement for curved wires and width measurements.
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October 2021 in “Vlaams Diergeneeskundig Tijdschrift” The protocol is easy to use, but reliable results need the same person to assess each time.
June 2011 in “Pharmacopsychiatry” Finasteride improved symptoms in a psychotic patient, but more research is needed.
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.
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March 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.
Subcutaneous injections of platelet-rich plasma may help with hair loss.
The modified Sinclair scale effectively measures hair loss severity in men.
7 citations
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April 2024 in “Skin Research and Technology” ChatGPT effectively addresses psoriasis concerns but can't replace doctors.
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May 2025 in “British Journal of Dermatology” Alopecia areata impacts mental well-being more due to perceptions and stigma than disease severity.
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January 1989 in “Archives of Dermatological Research” The method effectively analyzes human hair proteins, especially nonfilamentous ones.
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January 2024 in “Cureus” Acne significantly affects both physical health and mental well-being.
April 2018 in “The Journal of urology/The journal of urology” A new score can help predict which patients might have trouble urinating after prostate surgery.
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February 2003 in “British Journal of Dermatology” The study suggests computer-assisted analysis of scalp biopsies could improve hair loss diagnosis but needs more validation.
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January 2021 in “medRxiv (Cold Spring Harbor Laboratory)” The study concludes that the new clinical scoring system is a quick, low-cost, and accurate method for diagnosing COVID-19.
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August 2001 in “PubMed” TrichoScan accurately measures hair growth and showed improved hair counts and thickness after finasteride treatment.
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October 2004 in “Anais Brasileiros De Dermatologia” The document concludes that compulsive hair disorders, like trichotillomania, are complex and require careful diagnosis and treatment from both psychiatric and dermatological perspectives.
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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.