research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
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research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
AI in hair and scalp analysis shows promise but lacks real-world clinical integration and validation.
research The disintegrin/metalloproteinase Adam10 is essential for epidermal integrity and Notch-mediated signaling
Adam10 enzyme is crucial for healthy skin and proper Notch signaling.
research A practical guide for the study of human and murine sebaceous glands in situ
The guide explains how to study human and mouse sebaceous glands using various staining and imaging techniques, and emphasizes the need for standardized assessment methods.
research Spatiotemporal Expression, Distribution, and Processing of POMC and POMC-derived Peptides in Murine Skin
POMC-derived peptides are important for skin functions like immune response and stress management.
research Keratin‐based particles for protection and restoration of hair properties
Keratin-based particles safely improve hair strength, smoothness, and heat protection.
research Qualification of a new and precise automatic tool for the assessment of hair diameters in phototrichograms
The new automatic tool accurately measures hair thickness and is reliable.
research Trichotillomania Across Circuits: Neurobiology, Sensory Processing, and Genetic Insights
Trichotillomania treatment is improving with new therapies, but challenges like stigma and lack of training remain.
research Trichotillomania Across Circuits: Neurobiology, Sensory Processing, and Genetic Insights
Trichotillomania involves hair-pulling due to brain and genetic factors, with behavior therapy and new drugs showing promise, but challenges like stigma and underdiagnosis persist.
research Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research Assessment of Hair and Scalp Disorders
Hair and scalp disorders significantly affect self-esteem, and using cosmetic products like conditioners and styling aids can improve hair health and appearance.
research A study on the conditioning effects of natural shampoos using the scanning electron microscope*
Natural shampoos made in the lab conditioned hair better than commercial ones with chemicals.
research Brigham Eyebrow Tool for Alopecia: A Reliable Assessment of Eyebrow Alopecia Areata
The Brigham Eyebrow Tool for Alopecia is a simple and reliable way to measure eyebrow hair loss.
research Photoacoustic Imaging as a Tool for Assessing Hair Follicular Organization
Photoacoustic imaging can accurately assess hair follicle density and orientation for hair transplant planning.
research The psychosocial consequences of androgenetic alopecia: a review of the research literature
Hair loss affects self-esteem and quality of life; treatments can help.
research The Conundrum of Skin Pores in Dermocosmetology
Different types of skin pores should be identified correctly and evaluated with suitable methods for reliable results.
research Trichoscan: What Is New?
Trichoscan is a reliable method for measuring hair growth and monitoring treatment effectiveness in hair loss.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research Trichotillomania Across Circuits: Neurobiology, Sensory Processing, and Genetic Insights
Trichotillomania treatment is improving with behavior therapy and new drug approaches, but challenges like stigma and underdiagnosis remain.
research Generative adversarial networks for anonymous acneic face dataset generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
research Proceedings of the Ninth World Congress for Hair Research (2015)
The 2015 Hair Research Congress concluded that stem cells, maraviroc, and simvastatin could potentially treat Alopecia Areata, topical minoxidil, finasteride, and steroids could treat Frontal Fibrosing Alopecia, and PTGDR2 antagonists could also treat alopecia. They also found that low-level light therapy could help with hair loss, a robotic device could assist in hair extraction, and nutrition could aid hair growth. They suggested that Alopecia Areata is an inflammatory disorder, not a single disease, indicating a need for personalized treatments.
research Relationships, Intimacy, & Body Image After Breast Cancer
Breast cancer survivors often face body image and sexual health issues, needing ongoing support and open communication with healthcare providers.
research A neuroendocrinological perspective on human hair follicle pigmentation
Brain hormones significantly affect hair color and could potentially be used to prevent or reverse grey hair.
research Photographic Imaging in Hair Loss
Photographic imaging is crucial for documenting and managing hair loss, requiring careful preparation and standardization to be effective.
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Advances in Digital Light Processing (DLP) Bioprinting: A Review of Biomaterials and Its Applications, Innovations, Challenges, and Future Perspectives
DLP bioprinting shows promise for medical uses, but needs more material options and strength improvements.