3 citations
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January 2025 in “BMC Medical Informatics and Decision Making” This study suggests that novel diagnostic, preventive, and treatment approaches for autoimmune diseases like alopecia areata may be developed by identifying hub genes, and highlights the usefulness of machine learning and bioinformatics in finding new disease biomarkers.
5 citations
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January 2025 in “BMC Medical Informatics and Decision Making” This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.
November 2024 in “Stem Cell Research & Therapy” This study found that human umbilical cord mesenchymal stem cells (hUCMSCs) promoted hair regeneration in androgenetic alopecia model mice by activating Wnt/β-catenin signaling, enhancing hair follicle stem cell proliferation, and reducing dermal papilla cell apoptosis.
November 2024 in “Health Science Reports” This systematic review found that light and laser therapies, including excimer and erbium-glass lasers, generally increase hair density and diameter in various types of alopecia, with particularly notable effects in androgenic alopecia but limited efficacy in telogen effluvium.
2 citations
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January 2024 In this study, researchers proposed a deep learning approach combining genetic, hormonal, scalp health, and lifestyle data to predict hair loss, employing CNNs for image analysis and RNNs for modeling data over time, although specific results are not reported.
November 2023 in “International Journal of Medical Sciences” This review examines the mechanisms of hair follicle development and regeneration, discussing current hair loss treatments and emerging therapies like low-level laser therapy and stem cell therapy, which the authors suggest show promise in managing hair loss.
August 2023 in “Journal of Cosmetic Dermatology” This study found that combining minoxidil and spironolactone was more effective for hair density and severity of hair loss in women with androgenic alopecia compared to minoxidil and finasteride, with no serious adverse effects reported.
This comprehensive review analyzes androgenetic alopecia treatments, discussing the mechanisms, costs, efficacy, and safety of FDA-approved drugs like minoxidil and finasteride, as well as newer non-FDA-approved options that have shown effectiveness across various studies.
104 citations
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January 2023 in “Journal of Clinical Medicine” This review evaluates the hair cycle's phases and the factors influencing the transition between anagen and telogen, advocating for a holistic approach to addressing hair loss, though no specific results are reported.
4 citations
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October 2022 in “Journal of Imaging” This study reported that a new deep learning algorithm using Mask R-CNN improved hair follicle classification accuracy by 4 to 15%, suggesting potential clinical application for enhanced hair loss diagnosis.
January 2022 in “Journal of Pharmaceutical Negative Results” This study found that a VGG-SVM model using machine learning techniques achieved 98.31% accuracy in distinguishing alopecia areata from healthy hair based on image datasets.
December 2021 in “Acta dermato-venereologica” This study developed a deep learning framework and quantitative model that accurately predict basic and specific classification in male androgenetic alopecia by analyzing trichoscopic images.
8 citations
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August 2021 in “Computational and Mathematical Methods in Medicine” This article proposes a machine learning framework for classifying healthy hair and alopecia areata using image processing and classification techniques, but does not report new clinical findings.
19 citations
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May 2021 in “Clinical, Cosmetic and Investigational Dermatology” This review discusses the progress in research on topical formulations for treating alopecia, highlighting potential advantages of advanced formulation technologies but reporting no new clinical results.
28 citations
,
April 2021 in “Biomedicines” This review evaluates in vitro hair follicle models, techniques, and challenges without reporting new clinical results, emphasizing their future potential in hair transplantation.
4 citations
,
January 2021 in “Dermatologic Therapy” This review highlights current and future AI applications in hair restoration and diagnosis of hair disorders, including automated systems for hair detection and self-diagnosis, emphasizing the need for experts to understand their benefits and limitations.
102 citations
,
July 2020 in “International journal of molecular sciences” This review discusses the effects of hormonal changes on hair follicles, concluding that hormones like androgens and estradiol significantly influence hair growth and cycle, while the roles of other hormones are still being researched.
74 citations
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January 2020 in “IEEE Access” This study reports that the ScalpEye system accurately diagnosed dandruff, folliculitis, hair loss, and oily hair with a precision range of 97.41% to 99.09%.
37 citations
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January 2019 in “BioMed Research International” This review highlights that scalp pruritus is a complex condition with various underlying causes, making it a challenge to diagnose and manage effectively. It emphasizes the need for comprehensive patient evaluation, history-taking, and personalized treatment strategies to address quality of life impacts.
45 citations
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September 2018 in “International Journal of Women's Dermatology” This review discusses the use of platelet-rich plasma as a treatment for androgenetic alopecia and highlights the need for standardized protocols, reporting no new clinical results.
40 citations
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January 2018 in “International journal of trichology” This article reviews the relationship between scalp conditions and hair health, suggesting that shampoos with Malassezia inhibitory agents may help reduce premature hair loss, but it presents no new clinical results.
57 citations
,
November 2017 in “Nature Communications” This genome-wide association study identified 71 genetic loci linked to male pattern baldness, with 30 novel loci, explaining 38% of the risk and suggesting shared pathways with lifespan and cancer traits.
64 citations
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March 2017 in “Nature communications” This study identified 63 genetic loci associated with male-pattern baldness, uncovering genes and pathways that may help develop treatments and suggesting its connection to other human conditions.
133 citations
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February 2017 in “PLoS Genetics” In this study, researchers used genetic data from over 52,000 men to identify over 250 genetic loci associated with severe hair loss and developed a predictive algorithm for determining hair loss risk.
36 citations
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December 2016 in “Journal of The American Academy of Dermatology” In this study, researchers evaluated the hair pull test and found that normal values should be reduced to two hairs or fewer, with no significant impact from hair washing, brushing, or lifestyle factors such as hair texture and medication use.
37 citations
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May 2016 in “Deutsches Arzteblatt International” This review outlines various causes and manifestations of hair loss, highlighting that each type has distinct underlying mechanisms and requires specific treatment approaches, without reporting new clinical results.
136 citations
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April 2016 in “Dermatologic Surgery” This study found that platelet-rich plasma significantly increased hair density and anagen hair proportions in androgenetic alopecia patients, suggesting potential as an adjuvant therapy.
101 citations
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January 2016 in “Journal of Cutaneous and Aesthetic Surgery” This review discusses various classification systems for patterned hair loss in both sexes and reports no new clinical findings, highlighting the Hamilton-Norwood and Ludwig systems as the most commonly used.
48 citations
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May 2015 in “PLOS ONE” This study found that a genetic test using 5 to 20 SNPs can predict male pattern baldness with variable accuracy in European men, especially those aged 50 and older.
69 citations
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January 2015 in “Current problems in dermatology” This review discusses trichoscopy as a noninvasive, effective technique for diagnosing various hair loss conditions and monitoring treatment, highlighting its potential to reduce scalp biopsy necessity.
35 citations
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January 2014 in “Postepy Dermatologii I Alergologii” This study found that increased dihydrotestosterone levels were observed in both androgenetic alopecia patients and controls, suggesting that follicle sensitivity to DHT may be more critical than DHT levels for alopecia development.
34 citations
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January 2014 in “Indian Dermatology Online Journal” This study supports evaluating metabolic syndrome and insulin resistance in young males with advanced androgenic alopecia to potentially reduce future cardiovascular and type 2 diabetes risks.
16 citations
,
November 2013 in “European Journal of Dermatology” In this study, researchers characterized the normal scalp hair properties in South Koreans, observing that hair density declined with age and varied across scalp sites, while hair thickness patterns remained relatively stable until later in life.
27 citations
,
September 2012 in “Dermatologic Clinics” This review outlines a systematic method for diagnosing hair loss and presents no new findings; the authors emphasize the importance of biopsy in cicatricial alopecia cases.
21 citations
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January 2010 in “International Journal of Trichology” This study concluded that TrichoScan is error-prone in its current form and overestimates certain hair growth parameters, with results not aligning with clinical severity of alopecia.
69 citations
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February 2008 in “The American journal of pathology” This study found that local injections of interleukin-4 and neutralizing anti-interferon-γ antibody effectively treated alopecia in a mouse model, suggesting potential therapeutic pathways for human alopecia areata.
January 2008 in “xPharm: The Comprehensive Pharmacology Reference”
125 citations
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May 2007 in “Journal of The American Academy of Dermatology” This study describes the development of the BASP classification system, providing a universal and systematic approach for classifying pattern hair loss in both men and women.
24 citations
,
April 2005 in “The Journal of Dermatology” This study found that 2% ketoconazole solution stimulated hair growth significantly in a mouse model, suggesting potential benefits for male pattern hair loss.
397 citations
,
February 2004 in “British Journal of Dermatology” This article reviews the mechanisms by which minoxidil stimulates hair growth and reports no new clinical findings.
70 citations
,
June 2003 in “Journal of Investigative Dermatology Symposium Proceedings” This study reports that the TrichoScan method effectively measures hair growth parameters and detected significant improvements in hair counts and thickness in men with androgenetic alopecia after finasteride treatment.
174 citations
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November 2002 in “Expert Reviews in Molecular Medicine” This review discusses the genetic factors contributing to androgenetic alopecia and highlights the potential for developing more effective therapies based on recent discoveries, but reports no new clinical results.
33 citations
,
January 2002 This study found that daily topical application of 500 microg/ml latanoprost led to moderate to marked hair regrowth in a macaque model of androgenetic alopecia.
309 citations
,
May 1993 in “Journal of The American Academy of Dermatology” This study concluded that horizontal sections of scalp biopsy specimens provide more diagnostic information for male pattern androgenetic alopecia than vertical sections and can predict hair regrowth potential following topical minoxidil therapy.
71 citations
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May 1991 in “Clinical and Experimental Dermatology” Young men with male pattern baldness lose hair density over time without treatment.