research Angora Mouse Mutation: Altered Hair Cycle, Follicular Dystrophy, Phenotypic Maintenance of Skin Grafts, and Changes in Keratin Expression
The angora mouse mutation causes long hair and hair defects due to a gene deletion.
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240-270 / 1000+ resultsresearch High spatial resolution study of human skin using synchrotron infrared microscopy: application to the penetration of external agents
External agents penetrate skin more easily in areas with fewer lipids, especially through hair follicles.
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
research Quantitative Analysis of Cashmere and Other Animal Hair Fibers in Textiles Using MALDI-TOF Mass Spectrometry
The new method reliably identifies and measures different animal hair fibers in textiles.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
research Cross‐linked features of mouse pelage hair resistant to detergent extraction
Two mouse mutants have defective hair cuticle cross-linking.
research Reimagining Hair Science: A New Approach to Classify Curly Hair Phenotypes via New Quantitative Geometrical & Structural Mechanical Parameters
A new system for classifying curly hair types using precise measurements can improve hair care products and cultural inclusion.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research A New Universal Follicular Unit Excision Classification System for Hair Transplantation Difficulty and Patient Outcome
The new SFS Scale predicts hair transplant difficulty using hair and skin types, with thick skin and coily hair being hardest to work with.
research Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity
Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.
research MitoQ enhances CYP19A1 expression to stimulate WNT/β-catenin signaling pathway for promoting hair growth in androgenetic alopecia
MitoQ may help treat hair loss by boosting hair growth pathways.
research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research Worldwide diversity of hair curliness: a new method of assessment
A new method accurately classifies hair types, showing global hair diversity.
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 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.
research Modeling using discriminant analysis of the possibility of occurrence and features of the course of various forms of urticaria in ukrainian women depending on the features of anthropo-somatotypological indicators
The models accurately predicted urticaria in Ukrainian women but struggled to differentiate between mild and severe cases based on body structure.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research Table S1. Disease-dependent differences between tape-strip and bulk biopsy ssGSEA scores across hair follicle compartments
research Table S1. Disease-dependent differences between tape-strip and bulk biopsy ssGSEA scores across hair follicle compartments
research Kalya Research: Complementary and Alternative Medicine (CAM) Virtual Research Assistant from Biomedical Literature
Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.
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.
research Reimagining Hair Science: A New Approach to Classify Curly Hair Phenotypes via New Quantitative Geometric and Structural Mechanical Parameters
New methods can better classify curly hair types and lead to improved hair care products.
research A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research Sparse haplotype-based fine-scale local ancestry inference at scale reveals recent selection on immune responses
Recent selection on immune response genes was identified across seven ethnicities.
research A modified Sobel filter-based automated numerical algorithm enables immediate trichoscopic assessment of hair diameter diversity in male and female pattern hair loss
A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
research Human gene correlation analysis (HGCA): A tool for the identification of transcriptionally co-expressed genes
The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
research Hair analysis based on medical history and spatial-temporal data
Machine learning can predict hair health accurately using personal data.