research The Adapted Classification of Male Pattern Hair Loss Improves Reliability
Adapted classification better assesses male pattern hair loss and its link to heart disease.
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research Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
research The Ratio of Typical Clubbing in Pulled-Out Hairs as a Useful Marker in Predicting the Course of Alopecia Areata
Examining hair shape can help predict Alopecia Areata's progression.
research A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
The system can automatically identify different hair and scalp conditions using machine learning.
research Turing patterns in development: what about the horse part?
Turing patterns are now recognized as important in developmental biology.
research A Three-Step Diagnostic Algorithm for Alopecia: Pattern Analysis in Trichoscopy
A new method improves alopecia diagnosis using non-invasive steps.
research Utility of caffeine analysis for forensic hair discrimination
Caffeine in hair might help identify people, but it's not always reliable.
research Frequency of Types of Alopecia in a Single-centre Hair Referral Clinic Over a Ten Years Period
Pattern hair loss is the most common type of alopecia.
research Corkscrew Hair: A New Dermoscopic Sign for Diagnosis of Tinea Capitis in Black Children
Corkscrew hair may be a new sign for quickly diagnosing scalp fungus in black children.
research Trichoscopy I: Non-Cicatricial Alopecia
The document concludes that different patterns of hair thickness and scalp changes can help diagnose types of non-scarring hair loss.
research The usefulness of dermoscopy in canine pattern alopecia: a descriptive study
Dermoscopy is useful for diagnosing hair loss patterns in dogs.
research Advance in classification of androgenetic alopecia
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research Central Centrifugal Cicatricial Alopecia (CCCA)
CCCA is a common hair loss condition in African American women, often inherited and influenced by hairstyling, with unique scalp features detectable by special tools.
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 A highly resistant structure between the cuticle and the cortex of human hair. II . CARB , a penetration barrier
CARB is a strong barrier in human hair that prevents dye penetration.
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 Curling of Hair in Two Female Patients Taking Alitretinoin
Alitretinoin may cause irreversible hair curling as a side effect.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research 5 Following the Pattern: Hair Restoration
Hair restoration follows a specific pattern.
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 Localization patterns of collagens during growth of human scalp hair
research A Comprehensive Approach to Hair Pathology of Horizontal Sections
A new method using visual aids to diagnose hair diseases was effective after brief training.
research Flow-guided hair removal for automated skin lesion identification
The new method removes hair from skin images quickly and accurately to help identify skin lesions better.
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 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 Mind the Gap: A Solution to the Robustness Problem of Turing Patterns Through Patterning Mode Isolation
Pattern mode isolation improves the reliability and predictability of Turing patterns.
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 Trichological analysis on hair of malvi cattle
Malvi cattle hair varies in color and pattern across different body regions.