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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research Generative Adversarial Networks for Anonymous Acneic Face Dataset Generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
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 From the Microscopic Sweat Gland to Large Datasets: The Power of Quantitative Traits in Dermatology
Using quantitative traits in genetics can improve understanding and management of skin health and conditions.
research Genetic Prediction of Male Pattern Baldness Based on Large Independent Datasets
New models predict male pattern baldness better than old ones but still need improvement.
research Spontaneous Cutaneous Adverse Drug Reaction Reports: An Analysis of a 10-Year Dataset in Singapore
In Singapore, most skin reactions to drugs were in females and Chinese, often caused by painkillers, antibiotics, and some other drugs, with serious cases linked to genetics.
research Interpretation of Hair Ethyl Glucuronide Inter-Individual Factors from Large Population Dataset
Older age increases positive hair alcohol test results, and chest hair is a good alternative for testing; season affects results, with higher levels in winter.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research Integrated Single-Cell RNA-Sequencing Data of Unwounded and Wounded Mouse Skin and Fibroblasts
The dataset includes detailed genetic information from mouse skin cells before and after injury.
research Integrated Single-Cell RNA-Sequencing Data of Unwounded and Wounded Mouse Skin and Fibroblasts
The dataset includes detailed genetic information from mouse skin cells before and after injury.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research Using Morphological Operators and Inpainting for Hair Removal in Dermoscopic Images
The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.
research Research on Hair Removal Algorithm of Dermatoscopic Images Using Maximum Variance Fuzzy Clustering and Optimized Criminisi Algorithm
The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
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 Identification of Immune Microenvironment Changes, Immune-Related Pathways and Genes in Male Androgenetic Alopecia
The research suggests immune system changes and specific gene expression may contribute to male hair loss, proposing potential new treatments.
research Construction of the Coexpression Network Involved in the Pathogenesis of Thyroid Eye Disease via Bioinformatics Analysis
Key genes and pathways involved in thyroid eye disease were identified, aiding potential treatment and diagnosis.
research The Dark Side of the Language: Pre-Trained Transformers in the DarkNet
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
research Comparison of Phenotypes and Transcriptomes of Mouse Skin-Derived Precursors and Dermal Mesenchymal Stem Cells
The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research Identification and Characterization of Four Immune-Related Signatures in Keloid
Four specific genes are linked to keloid formation and could be potential treatment targets.
research A Systematic Simulation-Based Meta-Analytical Framework for Prediction of Physiological Biomarkers in Alopecia
The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
research A Gender Hypothesis of Sex Disparities in Adverse Drug Events
Gendered social factors, not just biology, contribute to sex differences in adverse drug events.
research Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research Construction of Regulatory Network for Alopecia Areata Progression and Identification of Immune Monitoring Genes Based on Multiple Machine-Learning Algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.
research Hair and Scalp Disease Detection Using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research Pharmacophore and Atom-Based 3D QSAR Studies on the Novel 5-Alpha-Reductase Inhibitors
The developed model can predict effective 5-alpha-reductase enzyme inhibitors.
research Hair Disease Classification Using Convolutional Neural Network Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research Identification of Distinct Immune Signatures and Chemokine Networks in Scalp Inflammatory Diseases
Different immune responses cause hair loss in scalp diseases, with unique patterns in scalp psoriasis possibly protecting against hair loss.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research Development of a Non-Parametric Population Pharmacokinetics Model and Bayesian Estimator for Tacrolimus in Tunisian Renal Transplant Patients
The model and estimator can predict drug exposure in kidney transplant patients well.