research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
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research Asymmetry of the Receding Hairline in Men With Early Androgenetic Alopecia
Receding hairlines in men are uneven, with the right side larger than the left.
research Faculty Opinions recommendation of A new classification of pattern hair loss that is universal for men and women: basic and specific (BASP) classification.
The BASP classification is a detailed system for categorizing hair loss in both men and women, but it may be complex for beginners and not fully suitable for grading female hair loss.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research BASP-Classification of Androgenetic Alopecia: Application Experience in Men
The M-type is the most common form of male hair loss, and the BASP-classification is easy for different medical professionals to use.
research Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks
The method effectively predicts new drug uses, including potential COVID-19 treatments.
research Nomenclature Proposal for the Zones and Landmarks of the Balding Scalp
Michael L. Beehner proposed a standardized naming system for balding scalp areas to help hair restoration surgery.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
research A Case of Beau’s Lines at Even Intervals and Onycholysis Caused by Chemotherapy
Chemotherapy caused nail grooves and separation, but they healed after treatment stopped.
research British Hair and Nail SocietyOral presentationsBH01 (P087) The British Hair and Nail Society present a review of our national grand round of challenging hair disorders and the benefits to the wider British Association of Dermatologists membership
The grand round helps improve diagnoses and suggests new treatments for hair disorders.
research The Gabrin sign's potential for identifying high‐risk patients for COVID‐19 with androgenic alopecia
The Gabrin sign may help identify COVID-19 patients at high risk who also have hair loss due to male hormones.
research Multiscale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma
The research created a detailed map of skin cells, showing that certain cells in basal cell carcinoma may come from hair follicles and could help the cancer grow.
research 199 Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app
The MDhair app accurately assesses hair loss severity with 94% accuracy.
research Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset
Google Search ads effectively gathered a diverse dermatology image dataset for research and AI development.
research Utility of Horizontal Sections of Scalp Biopsies in Differentiating between Androgenetic Alopecia and Alopecia Areata
Scalp biopsies help tell apart androgenetic alopecia and alopecia areata.
research An Evaluation System to Enhance Patient Selection for Alopecia-Reducing Surgery
The evaluation system improves patient selection for hair loss surgery, leading to fewer but more successful surgeries.
research Classification and Scoring of Androgenetic Alopecia (Male and Female Pattern)
The document explains how hair loss in men and women, known as Androgenetic alopecia, is categorized using the Hamilton-Norwood system for men and the Ludwig grade system for women.
research Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
research Elastic Staining in Differentiating Between Follicular Streamers and Follicular Scars in Horizontal Scalp Biopsy Sections
EVG staining helps tell apart follicular scars from follicular streamers, aiding in diagnosing different types of hair loss.
research A semiquantitative grading scale for frontal and vertex of androgenetic alopecia
New grading scale accurately measures hair loss severity and treatment effectiveness.
research Using artificial intelligence to compute Severity of Alopecia Tool scores
AI can accurately measure hair loss severity in alopecia areata.
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research The Girl with a Pearl Earring : A dermatological puzzle
The girl in "The Girl with a Pearl Earring" might have had alopecia areata, causing her lack of eyebrows and sparse eyelashes.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research Discrimination between basal cell carcinoma and hair follicles in skin tissue sections by Raman micro-spectroscopy
Raman micro-spectroscopy can help distinguish basal cell carcinoma from hair follicles in skin tissue.
research Abstracts
Ablative fractional laser treatment nearly matches the gene reduction effects of topical vismodegib in skin cancer.
research Cyclical dermal micro-niche switching governs the morphological infradian rhythm of mouse zigzag hair
Mouse zigzag hair bends form due to a 3-day cycle of changes in hair progenitors and their environment.
research JID VisualDx Quiz: February 2013
research Comedonal and Cystic Fibrofolliculomas in Birt-Hogg-Dube Syndrome
Early detection of specific skin lesions can help identify Birt-Hogg-Dube syndrome and prevent serious complications.