research Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
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270-300 / 1000+ resultsresearch Cloning and sequence analysis of KAP 6.1 gene in Xinjiang fine-wool sheep
Researchers cloned a gene from Xinjiang fine-wool sheep, finding it very similar to other sheep and somewhat similar to goats, humans, and rabbits.
research High-throughput phenotyping methods for quantifying hair fiber morphology
Hair fiber shape and curvature are not significantly linked when ancestry is considered.
research A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
The technique accurately identifies and evaluates hair follicle structures in skin.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research Ficoll density gradient sedimentation isolation of pelage hair follicle mesenchymal stem cells from adult mouse back skin: A novel methods for hair follicle mesenchymal stem cells isolation.
The new method isolates more hair follicle stem cells from mice quickly and these cells help promote hair growth.
research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification
Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.
research Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research Algorithm proposal for hair transplantation in fibrosing alopecia pattern distributidon.
The authors suggest a method for hair transplantation in fibrosing alopecia pattern distribution to improve treatment outcomes and cover bald areas.
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 Mapping of a novel locus for keratosis follicularis squamosa on chromosome 7p14.3–7p12.1
A new gene location for Keratosis follicularis squamosa was found on chromosome 7p14.3-7p12.1.
research 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
research Malassezia Display a Hyphae-like “Spaghetti-and-Meatballs” Configuration in Keratotic Plugs
Malassezia fungi in healthy noses can form a "spaghetti-and-meatballs" structure.
research Light scattering from human hair fibers
Researchers developed a new model for more realistic computer graphics rendering of hair by considering how light scatters on hair fibers.
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 Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research AI06 ALUDWIG: an automated artificial intelligence-based assessment of female androgenic alopecia
ALUDWIG can help standardize female hair loss assessment from a single image.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research Σχεδιασμός και υλοποίηση συστήματος επεξεργασίας εικόνας καθώς και μαθηματικών αλγορίθμων βελτιστοποίησης της μεταμόσχευσης ανθρωπίνων τριχοθυλακίων με την τεχνική FUE
The document concludes that the FOLLYSIS© system improves hair transplant processes and patient monitoring with high accuracy and less skin trauma.
research Molecular stratification of the human fetal vaginal epithelium by spatial transcriptome analysis
The study identifies four distinct zones in the fetal vaginal epithelium, enhancing understanding for potential applications in women's health.
research NLKFill: high-resolution image inpainting with a novel large kernel attention
NLKFill improves high-resolution image inpainting by effectively capturing image details and enhancing speed.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
research Follicular keratotic diseases: a retrospective study of 50 cases in a tertiary care center of rural South India with dermoscopy and histopathology evaluation
Keratosis pilaris is common in young females, and dermoscopy helps diagnose it accurately.
research Regarding Propofol-Ketamine and Propofol-Fentanyl Sedation Technique
Propofol-ketamine and propofol-fentanyl are effective and safe for cosmetic surgery sedation.
research Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
An automated system can accurately classify hair disorders using image analysis.
research Light scattering from human hair fibers
Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.