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30-60 / 1000+ resultsresearch Frontal fibrosing alopecia: clinical and prognostic classification
Researchers found three patterns of Frontal fibrosing alopecia, with Pattern III having the best prognosis after treatment.
research Relationship between androgenetic alopecia and cardiovascular risk factors according to BASP classification in Koreans
Hair loss links to high blood pressure, high fat levels, and metabolic issues, suggesting early heart disease screening.
research LB1012 The development of a pediatric alopecia areata treatment classification system based on results from a systematic review
Topical corticosteroids are recommended first for treating pediatric alopecia areata due to safety and ease of use.
research A Comprehensive Review on Alopecia: Mechanisms, Classification, and Therapeutic Strategies
Alopecia treatments are improving, but future therapies need to target underlying causes for better results.
research A Comprehensive Review on Alopecia: Mechanisms, Classification, and Therapeutic Strategies
Alopecia treatments are improving, but future therapies need to target underlying causes for better results.
research Figure 8, The Hamilton-Norwood classification of male androgenetic Alopecia
research A Review of Platelet-Rich Plasma: History, Biology, Mechanism of Action, and Classification
Platelet-rich plasma shows promise for skin and hair treatments but needs more research and standardization.
research Reliability of the pattern hair loss classifications: A comparison of the basic and specific and N orwood–H amilton classifications
The BASP classification is more reliable than the Norwood-Hamilton for classifying hair loss in men and women.
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.
research Platelet-rich plasma injection is effective and safe for the treatment of alopecia
Injecting platelet-rich plasma is a safe and effective way to treat hair loss.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Relationship between Illness Behavior and Hair Loss Pattern According to the Basic and Specific (BASP) Classification
The BASP classification helps predict patient behavior and improve treatment for hair loss.
research Male pattern androgenetic alopecia in an Indian context: a perspective study
At least 87% of Indian men experience hair loss, with type II being most common and severity increasing with age.
research Application of the basic and specific classification on patterned hair loss in Indians
The BASP classification is effective for diagnosing pattern hair loss in Indian men and women.
research Lonely Hair Sign: Not Specific for Frontal Fibrosing Alopecia
Hair diameter diversity is a key sign for diagnosing and managing male pattern baldness.
research Classification of psychodermatological disorders: Proposal of a new international classification
The document suggests a new way to categorize skin and mind disorders into two main groups to reduce confusion.
research Curl pattern classification: A potential tool for communication and risk stratification
Classifying curl patterns might help doctors assess and treat hair loss better.
research Long-Term Effectiveness and Safety of Dutasteride versus Finasteride in Patients with Male Androgenic Alopecia in South Korea: A Multicentre Chart Review Study
Dutasteride is more effective than finasteride for long-term hair growth in men with androgenic alopecia.
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 [Androgenetic alopecia].
Androgenetic alopecia, or hair loss, is influenced by hormones and genetics, and can be treated with medications like minoxidil, finasteride, or hormone therapy, with effectiveness evaluated after 6 months.
research A Random Study of Asian Male Androgenetic Alopecia in Bangkok, Thailand
Male pattern baldness affects 38.52% of Asian men in Bangkok, increasing with age and influenced by genes and environment.
research Classification of hair disease
Classifying hair diseases, like alopecia, is difficult and needs more research to understand their causes.
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 Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
research Familial Androgenetic Alopecia in Siblings with Normal Endocrinological Status
Two young siblings experienced hair loss without hormone issues or other skin problems.
research Is there a relationship between androgenic alopecia and benign prostatic hyperplasia?
There's no link between hair loss type androgenic alopecia and benign prostatic hyperplasia, but early hair loss and family history can mean more severe alopecia.
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 Androgenic alopecia in women: an Indian perspective.
Androgenic alopecia (AA) in Indian women is rarely reported, with varying severity and patterns, and hair pull tests and trichograms help understand it better.
research Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
An automated system can accurately classify hair disorders using image analysis.