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.
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research A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
research Investigating Different Deep learning Models for Classification of Folliculitis
GoogLeNet is the best model for identifying folliculitis.
research Skin development in the gray short‐tailed opossum (Monodelphis domestica)—From skin respiration to thermoregulation
Gray short-tailed opossums' skin shifts from helping with breathing to regulating body temperature as they grow.
research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Penetration and storage of particles in human skin: Perspectives and safety aspects
Particles around 100 nm can penetrate and stay in hair follicles without passing through healthy skin, making them safe for use in topical products and useful for targeted drug delivery.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
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 A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
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 Impact of artificial intelligence on healthcare
AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
research 448 Challenges of securing insurance approval for oral tofacitinib treatment of alopecia areata: A multi-institutional retrospective review
Getting insurance to cover the hair loss treatment tofacitinib is hard because it's not officially approved for that use.
research French administrative health care database (SNDS): The value of its enrichment
Enriching the French health care database with external data greatly improved its usefulness.
research DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
research Cyberspace Chat
research Cyberspace Chat
research 603 Degradation of aberrant NETs by DNases is a promising therapeutic strategy for SJS/TEN
Using DNase enzymes to break down harmful NETs could be a new treatment for Stevens-Johnson syndrome and toxic epidermal necrolysis.
research Notes on the internet
research DecisionDx‐Melanoma and Sentinel Lymph Node Biopsy
research Dissolving microneedle array patches containing mesoporous silica nanoparticles of different pore sizes as a tunable sustained release platform
Dissolving microneedle patches can effectively deliver drugs over time.
research Synergistic effect of carbodiimide and dehydrothermal crosslinking on acellular dermal matrix
Combining DHT and EDC improves the strength and stability of PADM scaffolds for tissue engineering.
research Dissolving microneedle array patches containing mesoporous silica nanoparticles of different pore sizes as a tunable sustained release platform
Microneedle patches with different pore sizes can effectively deliver drugs and trigger strong immune responses.
research 891 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 267 Single- and multiple-ascending dose studies of DS-2325a, a KLK5 inhibitor for the treatment of Netherton syndrome
DS-2325a is safe and well-tolerated, supporting further development for Netherton Syndrome treatment.
research An injectable bioactive dressing based on platelet-rich plasma and nanoclay: Sustained release of deferoxamine to accelerate chronic wound healing
The injectable hydrogel effectively speeds up chronic wound healing.
research Polydeoxyribonucleotide as a Regenerative Agent in Dermatology and Wound Healing: Mechanisms, Clinical Applications, and Safety
PDRN is effective and safe for healing wounds and skin issues.