research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia Using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
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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 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 The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Unseen Sentences
Syntax-based neural networks can match Transformers in handling unseen sentences.
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 Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research DNN-DTIs: Improved Drug-Target Interactions Prediction Using XGBoost Feature Selection and Deep Neural Network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research A Comparative Study of Linear and Nonlinear Artificial Neural Networks as Classifiers of Animal Hair Fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
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 Hair Cluster Detection Model Based on Dermoscopic Images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research Photographing Alopecia: How Many Pixels Are Needed for Clinical Evaluation?
Higher resolution images are needed to identify scarring and fine hair in alopecia.
research Automated Skin Surface Phenotype for Melanoma Risk Assessment
An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
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 Automating Hair Loss Labels for Universally Scoring Alopecia from Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Investigating Different Deep Learning Models for Classification of Folliculitis
GoogLeNet is the best model for identifying folliculitis.
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 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 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 A Comprehensive Review of Microneedles: Types, Materials, Processes, Characterizations, and Applications
Microneedles are effective for drug delivery, vaccinations, fluid extraction, and treating hair loss, with advancements in manufacturing like 3D printing.
research Evaluation of the Predictive Capacity of DNA Variants Associated with Straight Hair in Europeans
Certain DNA variants can predict straight hair in Europeans but are not highly specific.
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 Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
research Neural Mechanisms of Hair Growth Control
Nerves and chemicals in the body can affect hair growth and loss.
research Identifying Molecular Targets for Reverse Aging Using Integrated Network Analysis of Transcriptomic and Epigenomic Changes During Aging
Curcumin may help reverse aging by targeting specific genes.
research Hair Growth Inhibition by Psychoemotional Stress: A Mouse Model for Neural Mechanisms in Hair Growth Control
Stress can stop hair growth in mice, and treatments can reverse this effect.
research Folliculosebaceous Cystic Hamartoma With Spindle Cell Lipomatous And Neural Components
A woman had a unique skin growth with hair follicle, oil glands, fat cells, spindle cells, and nerve fibers.
research Current Understanding of the Pathways Involved in Adult Stem and Progenitor Cell Migration for Tissue Homeostasis and Repair
The document concludes that understanding how adult stem and progenitor cells move is crucial for tissue repair and developing cell therapies.
research Stem Cells and the Circadian Clock
The circadian clock influences the behavior and regeneration of stem cells in the body.