research Dataset from the uniaxial tensile testing of human curly hair fibers under different conditions
Curly hair's strength and flexibility vary with moisture and temperature.
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600-630 / 1000+ results research 555 Dermal single-cell atlas: a novel tool to explore fibroblast heterogeneity
A new tool helps study hair follicle cells to develop better treatments for hair disorders.
research The Naked (N) Mutation, Chromosome 15
The naked mutation in mice causes hair loss and helps identify keratin genes.
research Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
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 Mendeley Supplemental Document 1
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Reproducibility package for an auditable exploratory re-analysis of miRNA dysregulation and aging-related validated target enrichment in female pattern hair loss
The study provides exploratory findings on miRNA changes in female hair loss.
research Patient-centered care
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research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Hair loss in the elderly
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research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
rwSALT accurately measures hair regrowth in alopecia areata using scalp photos.
research Marie Unna Hereditary Hypotrichosis Gene Maps to Human Chromosome 8p21 Near Hairless
The gene for Marie Unna hereditary hypotrichosis is located on chromosome 8p21, near the hairless gene.
research Shortcutting the diagnostic odyssey: the multidisciplinary Program for Undiagnosed Rare Diseases in adults (UD-PrOZA)
The UD-PrOZA program successfully diagnosed 18% of adult patients with rare diseases, often using genetic testing.
research Marie Unna hereditary hypotrichosis: Identification of a U2HR mutation in the family from the original 1925 report
Researchers found a gene mutation responsible for a rare hair loss condition.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research Disease-dependent accessibility of hair follicle compartments revealed by tape-strip transcriptomics
Tape-strip RNA sequencing can better detect inflammation in hair follicles for alopecia areata.
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
research Marie‐Unna Hereditary Hypotrichosis: Case Report and Review of the Literature
Marie-Unna Hereditary Hypotrichosis is a rare genetic condition causing sparse hair growth, requiring specific recognition for proper care.
research FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
The model accurately detects alopecia areata with 84.3% accuracy.
research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research scRNA+TCR-seq Reveals the Proportion and Characteristics of Dual TCR Treg Cells in Mouse Lymphoid and Non-lymphoid Tissues
Dual TCR Treg cells are common in various mouse tissues and show diverse characteristics.
research Genome-wide gene expression dataset used to identify potential therapeutic targets in androgenetic alopecia
Five molecular elements identified as potential future targets for hair loss therapy.
research Tritiated Thymidine: Effect of Decomposition by Self-Radiolysis on Specificity as a Tracer for DNA Synthesis
Decomposed tritiated thymidine is less accurate for DNA tracing, and hair changes can indicate malnutrition.
research Proliferative and Non-Proliferative Lesions of the Rat and Mouse Integument
The project created a standardized system for classifying skin lesions in lab rats and mice.
research Pair Annotation: Adaption of Pair Programming to Corpus Annotation
Root hairs in barley improve growth and zinc uptake in zinc-deficient soil.
research Label-Free Monitoring of Endometrial Cancer Progression Using Multiphoton Microscopy
Multiphoton microscopy can effectively detect early endometrial cancer by analyzing collagen changes.
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.