research Yellow and orange in cutaneous lesions: clinical and dermoscopic data
Yellow and orange colors are important for diagnosing certain skin conditions.
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research Hairline as a Neurosurgical Landmark
The hairline can reliably guide neurosurgical planning.
research 42063 Image Quality Assessment using Convolutional Neural Network in Clinical Skin Images
The model can effectively identify good quality skin images but needs more testing for real-world use.
research Modeling share dynamics by extracting competition structure
The model can predict website market shares by identifying competition among them.
research The sensory innervation of primate facial skin. II. Vermilion border and mucosa of lip
Monkey lips have dense sensory nerves similar to those in other skin areas, explaining their sensitivity.
research A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
A new method measures mouse hair loss using shades of gray.
research Attraction of sensory fibers by Merkel cells during co-culture of sensory ganglia and hair follcies in collagen-gel
research 203 Automated skin surface phenotype for melanoma risk assessment
An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
research Altered resting-state activity in seasonal affective disorder
People with Seasonal Affective Disorder have different brain activity in certain areas when resting.
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research Defining the Localization and Molecular Characteristic of Minor Salivary Gland Label-Retaining Cells
The study found stem cells in minor salivary glands that can differentiate and are involved in tumor formation when exposed to tobacco.
research Raman spectroscopy reveals biophysical markers in skin cancer surgical margins
Raman spectroscopy can help identify cancerous skin tissue during surgery.
research Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
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 Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT ( GATEWAYS ) Scoring of Alopecia Areata
Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
research Three-dimensional architecture and linearized mapping of vibrissa follicle afferents
Large-scale reconstructions enhance understanding of vibrissal sensory mapping in the brain.
research A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice
The Scalp Coverage Scoring method reliably measures hair density from images.
research AB0987 ANIFROLUMAB TREATMENT IMPROVES QUALITY OF LIFE AND DECREASES SYSTEMIC CORTICOSTEROID USE IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS
Anifrolumab improves quality of life and reduces steroid use in lupus patients.
research Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma
The research created a detailed map of skin cells, showing that certain cells in basal cell carcinoma may come from hair follicles and could help the cancer grow.
research Estudo da diversidade dos genes MC1R e SLC24A5 em populações globais: avaliação de aspectos evolutivos e ambientais
SLC24A5 shows a clear selective sweep, but no link to UV radiation intensity.
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 DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Site of beige (bg) and leaden (ln) pigment gene expression determined by recombinant embryonic skin grafts and aggregation mouse chimaeras employing sash (Wsh) homozygotes
Beige and leaden pigment genes act within melanocytes, affecting pigment patterns.
research Flow-guided hair removal for automated skin lesion identification
The new method removes hair from skin images quickly and accurately to help identify skin lesions better.
research PEMANFAATAN LIMBAH KULIT BUAH SALAK PONDOH (Salaccae edulis Reinw) MENJADI SEDIAAN SAMPO DAN AKTIVITASNYA TERHADAP Staphylococcus epidermidis DAN Candida albicans
Pondoh salak fruit peel extract is effective in shampoo and has strong antimicrobial properties.
research Sensations Evoked by Microstimulation of Single Mechanoreceptive Afferents Innervating the Human Face and Mouth
Microstimulation of certain facial and mouth nerves can evoke specific sensations, while deeper nerves may require multiple stimulations to affect perception.
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata
Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
research 1302 Disturbed sebum and microbiome composition in sensitive scalp
Sensitive scalp has higher pH, more redness, abnormal sebum, and altered bacterial makeup.
research Efficacy of modern methods for assessing the severity of alopecia areata
The SBN system effectively assesses alopecia areata severity and predicts its course.
research Integration of Colorimetric Sensing Dyes and Multi‐Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis
Combining advanced sensors with portable devices could enhance on-site food safety monitoring.