July 2026 in “Journal of King Saud University - Computer and Information Sciences” This study introduced a novel framework that significantly improves the accuracy of alopecia areata lesion segmentation in semi-supervised scenarios, outperforming existing methods and aiding in the disease's diagnosis, treatment, and staging, which can impact quality of life and mental well-being.
June 2026 in “EJC Paediatric Oncology” In this retrospective study on pediatric craniospinal irradiation, researchers found that permanent radiation-induced alopecia occurred in 45.8% of patients, with higher radiation doses and treatment intensity being significant predictors, suggesting that defined dosimetric thresholds can support scalp-sparing planning.
This study developed an automated image analysis framework for diagnosing hair disorders using trichoscopic images, reporting a Random Forest classifier as having an 86.67% accuracy in distinguishing between different scalp pathologies based on quantitative image features.
February 2026 in “International journal of intelligent engineering and systems” This study proposes a new method for hair segmentation that improved performance in skin lesion images, as indicated by an increase in the Dice score from 76.97% to 79.08%.
November 2024 in “Image Analysis & Stereology” This study introduced a novel, weakly supervised method for segmenting hair in Scanning Electron Microscope images using simple image-level annotations, achieving over 30% improvement in mean Hausdorff Distance compared to Unet and SAM, while enhancing interpretability and refinement.
April 2026 in “Scientific Reports” In this study, the proposed MSF-VMDNet, combining dual encoder networks with a multi-frequency domain mechanism, significantly outperformed existing methods in segmenting skin cancer tissues from histological slide images, achieving high accuracy with an MIoU of 95.37% and a Dice coefficient of 95.11%.
April 2023 in “Journal of Investigative Dermatology” This study reports that improvements to the EczemaNet pipeline, incorporating pixel-level segmentation and data augmentation, enhanced the reliability and interpretability of assessing atopic dermatitis severity from digital images.
2 citations
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July 2022 in “Stem cell research & therapy” This study found that a large number of pelage hair follicle mesenchymal stem cells can be efficiently isolated using two-step Ficoll Density Gradient Sedimentation, promoting hair growth by secreting exosomes in mice.
November 2024 in “Stem Cell Research & Therapy” A new method improves the isolation of hair follicle cells for better hair growth research.
This study found that new methods for isolating human dermal papilla cells were more efficient than traditional methods, maintaining higher levels of specific markers and improving the cells' research potential.
May 2023 in “Stem cell research & therapy” This study describes a novel method using force-triggered density gradient sedimentation for efficiently isolating dermal papilla cells from neonatal mouse skin, showing promise for hair follicle regeneration research.
March 2022 in “Research Square (Research Square)” This study reported that pelage hair follicle mesenchymal stem cells isolated from mice using Ficoll Density Gradient Sedimentation can be obtained in large numbers and may promote hair growth via exosome secretion.
January 2026 in “Pattern Recognition” This study found that their newly developed ADRL framework significantly improved the accuracy of scalp tissue layer segmentation in HR-MR images compared to existing methods.
4 citations
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December 2021 in “Electronics” In this study, a novel GAN-based image translation method focusing on regions of interest showed improved predictive performance for post-hair transplant images compared to existing methods, using an ensemble approach to enhance robustness and detection accuracy.
July 2025 in “Journal of Neonatal Surgery” This study utilized U-Net's image-processing capabilities to achieve 92% accuracy in segmenting individual hair strands, enhancing early detection and reliable identification of hair fall areas, which assists in addressing challenges of subtle hair thinning that are difficult to see otherwise.
9 citations
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September 2022 in “Frontiers in Physics” This study found that Mueller Matrix microscopy can accurately identify, detect, and evaluate hair follicles in mouse skin tissue, suggesting its potential for skin structure research and dermatological applications.
5 citations
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April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
1 citations
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January 2021 in “SISTEMASI” This study found that the multi-thresholding method was the most effective for segmenting hair during laser removal, as it clearly distinguished hair patterns with minimal noise.
This study describes a new method using ImageJ to quantitatively assess hair loss in mice with alopecia areata, offering a more precise and reproducible alternative to traditional visual scoring systems by employing image-based analysis techniques.
77 citations
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September 2001 in “Postgraduate Medical Journal” In this study, men appeared older than their actual age when factors like greying hair, total cholesterol, and hemoglobin levels were present, whereas women appeared younger with different associated factors.
31 citations
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February 2014 in “Inflammation Research” This study found that reduced expression of CD200R1 on monocyte-derived macrophages in rheumatoid arthritis patients was significantly associated with higher disease severity and an imbalance in Th17/Treg cells.
23 citations
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March 2010 in “Actas Dermo-Sifiliográficas” In this study, early-onset androgenetic alopecia in men was associated with a higher prevalence of metabolic syndrome and carotid atherosclerosis compared to controls, suggesting cardiovascular screening might be beneficial for this group.
14 citations
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January 2012 in “International Journal of Trichology” This case report highlights the importance of suspecting underlying malignancy, such as Hodgkin's lymphoma, in patients with diffuse hair loss and other cutaneous symptoms.
7 citations
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February 2016 in “Arab journal of urology” This study found that patients with androgenetic alopecia had a higher incidence of metabolic syndrome and benign prostatic hyperplasia compared to those without the condition.
6 citations
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April 2020 in “Cureus” This case report presents a rare instance of coexistent tumid lupus erythematosus and systemic lupus erythematosus in a patient, with symptom improvement noted after hydroxychloroquine treatment.
3 citations
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April 2002 in “The Lancet” In this case report, the authors identified giant cell arteritis as the underlying cause of bitemporal hair loss and scalp tenderness in a 70-year-old woman, initially misdiagnosed as age-related symptoms.
3 citations
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March 2002 in “Linchuang pifuke zazhi” This study analyzed clinical manifestations of dermatomyositis in 18 patients, reporting common symptoms such as skin rash, proximal muscle weakness, and elevated serum markers, with treatment typically involving prednisolone and hydroxychloroquine.
2 citations
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November 2024 in “Clinical Cosmetic and Investigational Dermatology” This Mendelian randomization study suggests a causal link between higher BMI and increased risk of psoriasis, atopic dermatitis, and hidradenitis suppurativa, potentially due to elevated biomarkers such as triglycerides and C-reactive protein.
2 citations
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July 2022 in “Cureus” This case report describes a rare patient with Sjogren's syndrome who experienced recurrent pneumothorax, resolved through surgical intervention, highlighting pneumothorax as an unusual complication of the condition.
1 citations
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November 2025 in “Journal of Dermatological Treatment” This study found that Baricitinib effectively reduced alopecia severity in adults with severe alopecia areata during a 12-month observation period, especially when initiated in patients with milder baseline conditions and elevated ESR; no serious adverse events were reported.