research Reimagining Hair Science: A New Approach to Classify Curly Hair Phenotypes via New Quantitative Geometrical & Structural Mechanical Parameters
New methods to classify curly hair types were developed based on shape and strength.
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research Do Different Diagnostic Criteria Impact Polycystic Ovary Syndrome Diagnosis for Adolescents?
Different diagnostic criteria greatly affect PCOS diagnosis rates in teenagers.
research 863 Central centrifugal cicatricial alopecia gene expression analysis revealed cholesterol, fatty acid, and mast cell pathways
Targeting cholesterol, fatty acids, fibrosis, and mast cells may help treat CCCA.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
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 Analysis of familial factors using the basic and specific (BASP) classification in Korean patients with androgenetic alopecia
Familial factors affect hair loss types in Koreans, with M type in men, L type in women, and paternal factors influencing male hair loss more.
research Hair Preparations
Hair care products are regulated, with shampoos, conditioners, dyes, and styling products designed for cleaning, enhancing, and maintaining hair.
research How I Do It: Ahmad’s NPRT System: A New Classification System for Documenting Male Pattern Baldness
Dr. Muhammad Ahmad created a simpler system to better describe male pattern hair loss.
research 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
research Scar classification in cutaneous lupus erythematosus: morphological description
Early scar classification in lupus can improve treatment and patient outcomes.
research Central centrifugal cicatricial alopecia – an approach to diagnosis and management
Diagnose and manage CCCA with thorough history, exams, and labs; treat with anti-inflammatory agents, stress reduction, and stopping harmful hair practices.
research Niosomal versus cubosomal gels of cetirizine hydrochloride: Cost-effective permeation enhancement for potential transdermal application
Cubosomal gels enhance skin absorption of cetirizine better than niosomal gels.
research 848 Genes implicated in lipid & metabolic regulation downregulated in CCCA
848 genes related to fat and metabolism are less active in people with Central Centrifugal Cicatricial Alopecia.
research Confusion Over Use: Contextualism in Trademark Law (with M. Janis)
research Central Centrifugal Cicatricial Alopecia Presenting with Irregular Patchy Alopecia on the Lateral and Posterior Scalp
The report found a new type of hair loss in African-American women that affects more areas of the scalp than previously thought.
research Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases
The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
research Aproximación a los metanálisis de comparación de múltiples tratamientos: una revisión de la literatura
Multiple treatment comparison meta-analyses help doctors make better decisions by comparing different interventions.
research Human scalp hair: geometry, biochemistry, growth parameters and mechanical characteristics
A 6-group geometric classification of human scalp hair is more reliable and objective for testing than an 8-group system.
research Valency based novel quantitative structure property relationship (QSPR) approach for predicting physical properties of polycyclic chemical compounds
The neighborhood face index (NFI) accurately predicts properties of complex molecules.
research 0750 Proteomics and transcriptomics profiling define molecular subtypes of advanced cutaneous T cell lymphoma and prognostic biomarkers
Three molecular subtypes of advanced skin T-cell lymphoma were identified, with potential biomarkers for predicting treatment response and disease progression.
research A guide for building biological pathways along with two case studies: hair and breast development
The document explains how to create detailed biological pathways using genomic data and tools, with examples of hair and breast development.
research Central centrifugal cicatricial alopecia: A call for additional literature in the pediatric population
More research is needed on CCCA in children, especially Black and Asian adolescents.
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 Redefining hormone resistance in prostate cancer
The conclusion suggests that prostate cancer should be classified by castration status and that new therapies targeting androgen receptor signaling show promise.
research Proposing a Simpler Classification of Telogen Effluvium
Alfredo Rebora suggested a new, easier way to classify hair loss in Telogen Effluvium, adding a type possibly related to autoimmune diseases.
research Wool Fibres: Sectioning and Staining, Differentiation of Ortho and Paracortex
research Central centrifugal cicatricial alopecia: retrospective case-control study of 54 patients from a tertiary care center
CCCA mainly affects Black women and is linked to high-tension hairstyles, heating tools, chemical relaxants, and genetics.
research Congenital atrichia and hypotrichosis
The document emphasizes the importance of correctly identifying and classifying genetic hair disorders to help diagnose related health conditions.
research Receptor types in cat hairy skin supplied by myelinated fibers.
Cats' hairy skin has different touch receptors connected by myelinated fibers.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.