research Discovery of differentially expressed genes in cashmere goat (Capra hircus) hair follicles by RNA sequencing
Researchers found 617 genes that behave differently in cashmere goat hair follicles, which could help understand hair growth.
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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 Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Bioinformatics analysis of genes associated with the patchy-type alopecia areata: CD2 may be a new therapeutic target
CD2 might be a new treatment target for patchy alopecia areata.
research Computational derivation of a molecular framework for hair follicle biology from disease genes
The research provides a gene-based framework for hair biology, highlighting the Hippo pathway's importance and suggesting links between hair disorders, cancer pathways, and the immune system.
research 3D multicellular micropatterning biomaterials for hair regeneration and vascularization
The new biomaterial helps grow blood vessels and hair for skin repair.
research Identification of key pathways and genes that regulate cashmere development in cashmere goats mediated by exogenous melatonin
Melatonin affects cashmere growth in goats by influencing stem cell and certain signaling pathways.
research Computational Drug Discovery in Chemotherapy-induced Alopecia via Text Mining and Biomedical Databases
Computational tools identified 29 drugs that could potentially target 19 genes involved in chemotherapy-induced hair loss, which could lead to more effective treatments.
research Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
The device accurately estimates natural hair color at the roots in real time.
research SNP variation in male pattern hair loss in Russians with different dihydrotestosterone levels
Certain gene variations increase male hair loss risk, influenced by hormone levels.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Short-term malignancy risk of JAK inhibitors in severe alopecia areata: a multicenter cohort study
JAK inhibitors do not increase cancer risk in severe alopecia areata compared to traditional treatments.
research Role of Csdc2 in Regulating Secondary Hair Follicle Growth in Cashmere Goats
Csdc2 helps hair growth in cashmere goats by regulating specific genes.
research A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research Cosmetic Dermatology
Common cosmetic dermatology techniques improve skin damaged by the sun and aging.
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Microcirculation-Promoting Effect of Escin on Cutaneous Tissue via Gsk3β Down-Regulation
Escin improves skin blood flow and health by enhancing blood vessel networks.
research Transcriptome sequencing reveals the expression profiles of lncRNAs and mRNAs in goat skin tissues with different types of wool coats
The study identified key genes and pathways that influence goat wool quality and growth.
research Three-dimensional ultrastructural analysis of human skin with the arrector pili muscle interacting with the hair follicle epithelium
The method effectively analyzes skin tissue changes, especially in the arrector pili muscle and nerve fibers with hair follicles.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
research 861 Frontal fibrosing alopecia (FFA) under dynamic optical coherence tomography (D-OCT)
D-OCT shows increased blood vessel growth in response to tissue damage in Frontal Fibrosing Alopecia and is useful for diagnosis and monitoring.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
AI in hair and scalp analysis shows promise but lacks real-world clinical integration and validation.
research Moisture as a Plasticity Switch in Blowouts: Glass-Transition Behavior, Viscoelastic Response, and Tension-Defined Shape
Moisture makes hair flexible for reshaping during blowouts.
research Ứng dụng Trichoscope trong hỗ trợ chẩn đoán bệnh rụng tóc từng mảng và rụng tóc Androgen
The Trichoscope is a valuable tool for diagnosing and monitoring hair loss conditions.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
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 Enhanced Differentiation Potential of Pigmented Human Epidermal Equivalents
PmtHEE is a better model for studying pigmented skin because it includes melanocytes and shows improved cell differentiation.
research Transcriptome sequencing reveals the expression profiles of lncRNAs and mRNAs in goat skin tissues with different types of wool coats
Different wool coat types in goats are linked to specific gene expressions, which could improve cashmere quality.