research Histopathologic diagnosis of multifactorial alopecia
Some people's hair loss is caused by multiple factors, with the most common being a mix of AGA and CCCA.
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960-990 / 1000+ results research 011 Central Centrifugal Cicatricial Alopecia (CCCA) Under the Scope: Histological Similarities between CCCA and Lichen Planopilaris
CCCA and lichen planopilaris have similar histological features, making them hard to distinguish.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research P187 : Folliscope analysis of temporal involvement in Korean women with female-pattern hair loss
Many Korean women with female-pattern hair loss have reduced hair density at the temples.
research A Three-Step Diagnostic Algorithm for Alopecia: Pattern Analysis in Trichoscopy
A new method improves alopecia diagnosis using non-invasive steps.
research Two-dimensional electrophoretic analysis of human hair keratins, especially hair matrix proteins
The method effectively analyzes human hair proteins, especially nonfilamentous ones.
research 551 Combining Laser Capture Microdissection and RNAseq Analysis to Generate a Human Anagen Hair Follicle Transcriptome Atlas
Researchers made a detailed map of gene activity for different parts of human hair follicles to help create targeted hair disorder treatments.
research Distribution of bacterial community structures on human scalp hair shaft in relation to scalp sites
Bacterial communities on scalp hair are unique to each person but consistent across different scalp sites.
research Trichoscopic criteria of different stages of male pattern hair loss
Trichoscopy effectively distinguishes between severe and mild male pattern hair loss.
research Transcriptomic analyses of regenerating adult feathers in chicken
Chicken feather growth involves specific genes and shares similarities with hair development.
research A Powerful Method for Pleiotropic Analysis under Composite Null Hypothesis Identifies Novel Shared Loci Between Type 2 Diabetes and Prostate Cancer
The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research CSF 5-HIAA as a predictor of treatment response in trichotillomania.
Higher CSF 5-HIAA levels may predict better response to serotonin re-uptake inhibitors in trichotillomania.
research 192 Three-dimensional ultra-high frequency ultrasound facilitates image processing to visualize microstructural changes of hair follicles and detects distinct disease phases of alopecia areata
3D ultrasound can detect hair follicle changes and disease phases in alopecia areata.
research Autoantibodies in Pediatric Systemic Lupus Erythematosus: Cluster Analysis and its Clinical Implications in Indian Children
Testing for various autoantibodies in Indian children with lupus can help predict disease symptoms and risks.
research A study of clinical and investigational profile of hirsute women at a tertiary care center in Western India
Idiopathic hirsutism is the most common cause of hirsutism in women, followed by PCOS.
research Distinguishing Three Classes of Androgenetic Alopecia based on Concerns in Youth: Latent Class Analysis of a Cross-Sectional Survey
Greater concern about hair loss is linked to more severe hair loss and worse quality of life.
research Does hair cortisol concentration reflect measurable regulatory biology of the HPA axis in healthy humans?
Hair cortisol concentration partly reflects HPA axis regulation but doesn't capture all its complexities.
research Comparative Evaluation of Hair Density and Grouped Hair Unit Pattern between Androgenetic Alopecia and Normal Scalp
People with androgenetic alopecia (AGA) have lower hair density and more single-hair units compared to those with normal scalps.
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 Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research Dermatoscopic features of central centrifugal cicatricial alopecia
Researchers found a white halo around hair in most patients with a specific type of hair loss, which helps in early diagnosis and treatment.
research A new practical classification for spatial distribution and morphology of human hair: Ahmad's LGMA classification
Dr. Muhammad Ahmad created a hair classification system to help improve hair restoration surgery outcomes.
research Development, Regeneration, and Evolution of Feathers
Feathers are crucial for understanding bird evolution, development, and have inspired biomimetic research.
research Relationships Between Hair Chemical Elements and Nutritional Status in Oldest-Old and Centenarian Populations
Hair selenium levels can indicate nutritional status in very old people.
research The Potential of Hair Matrix for Biomarker Analysis in Schizophrenia
Hair analysis could help diagnose and treat schizophrenia more effectively.
research Trichoscopic findings of androgenetic alopecia and their association with disease severity
Hair thickness differences help diagnose hair loss severity.
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 Characterizing the Individual: Hair Cortisol as a Biomarker of Mental Health and Functioning in a PhD Student Compared With a Clinical Sample
Hair cortisol levels may not reliably indicate psychological distress.
research COMPARAÇÃO ENTRE HPLC E IMUNOTURBIDIMETRIA PARA DOSAGEM DE HEMOGLOBINA GLICADA (A1C) COMO CRITÉRIO DIAGNÓSTICO DE DIABETES MELLITUS
HPLC may detect prediabetes and diabetes earlier than Immunoturbidimetry because it shows higher A1c levels.