research Comparison of Adhesive Tape Impression Cytology, Hair Plucks, and Fungal Culture for the Diagnosis of Dermatophytosis in Dogs and Cats
Adhesive tape impression is a useful tool for diagnosing dermatophytosis in dogs and cats.
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research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research Bitemporal alopecia: A unique pattern variant of alopecia
The document concludes that "hot comb alopecia" is now called "central cicatricial centrifugal alopecia" and its causes are complex.
research Using disease symptomatology to guide treatment in patients with central centrifugal cicatricial alopecia: introduction of C-CAT scoring tool
The C-CAT tool helps assess and improve treatment for central centrifugal cicatricial alopecia.
research A modular modeling approach for investigating wool critical buckling from biologically variable along-fiber microstructure
The model helps understand how wool fiber structure affects its strength and flexibility.
research Curling of Hair in Two Female Patients Taking Alitretinoin
Alitretinoin may cause irreversible hair curling as a side effect.
research Anti-keratin Monoclonal Antibodies for Identifying Animal Hair Fibers
Scientists made antibodies to tell cashmere and wool apart, which could improve how we identify animal fibers.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research Classification of male-pattern hair loss
No current system perfectly classifies male-pattern hair loss, indicating a need for a new system for better diagnosis and treatment.
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 Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research A Dermoscopic Clue for the Diagnosis of Traction Alopecia: Peripilar Keratin Casts: Case Report
Peripilar keratin casts are a helpful sign for diagnosing traction alopecia.
research Trichoscopy for common hair loss diseases: Algorithmic method for diagnosis
The conclusion is that an algorithm using trichoscopy helps diagnose different types of hair loss but may need updates and a biopsy if results are unclear.
research Scattering from Elliptical Hair Fibers Based on Microfacet Theory
research A case of pili torti in a young adult domestic short-haired cat
A young cat had a rare hair condition with twisted hair shafts but stayed healthy.
research Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
research Patchy presentation of central centrifugal cicatricial alopecia
CCCA can appear as patchy hair loss in younger men, not just the usual pattern.
research Atypical Morphological Patterns of Alopecia Areata with Trichoscopic and Histopathologic Correlation: A Case Series
Recognizing unusual patterns of hair loss helps dermatologists diagnose and manage Alopecia Areata better.
research 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 and accurate way to categorize hair loss in both men and women.
research A study of clinicoepidemiological profile and trichoscopic features in clinical patterns of female pattern hair loss in a rural tertiary care hospital
Trichoscopy is useful for early detection and monitoring of female pattern hair loss.
research Using morphological operators and inpainting for hair removal in dermoscopic images
The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.
research A modified Sobel filter-based automated numerical algorithm enables immediate trichoscopic assessment of hair diameter diversity in male and female pattern hair loss
A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
research Pathologic Diagnosis of Central Centrifugal Cicatricial Alopecia on Horizontal Sections
Horizontal sections of scalp biopsies are good for diagnosing Central Centrifugal Cicatricial Alopecia and help customize treatment.
research P154 Revised basic and specific (BASP) classification for pattern hair loss
The revised BASP classification for hair loss is less accurate and harder to use but could still be a viable option.
research KERATIN PHENOTYPES IN BASAL-CELL CARCINOMAS OF THE SKIN
Basal cell carcinoma shows keratin patterns similar to hair follicle structures.
research A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
A web platform was created to help diagnose scalp conditions accurately and easily.
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.
research Determinants of marginal traction alopecia in African girls and women
Traction alopecia is more common in African women than girls, especially when traction is applied to chemically relaxed hair; avoiding such hairstyles may reduce the risk.
research A Nationwide Outbreak of Alopecia Associated With the Use of a Hair-Relaxing Formulation
A hair-straightening product caused widespread hair loss and scalp injuries, mainly affecting African American women.