research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
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90-120 / 1000+ results 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 Raman spectroscopy reveals biophysical markers in skin cancer surgical margins
Raman spectroscopy can help identify cancerous skin tissue during surgery.
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 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 Attraction of sensory fibers by Merkel cells during co-culture of sensory ganglia and hair follcies in collagen-gel
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 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 Hair weathering and hair capacitance mapping: a pilot study
Hair capacitance mapping effectively measures hair surface moisture changes.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
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 Yellow and orange in cutaneous lesions: clinical and dermoscopic data
Yellow and orange colors are important for diagnosing certain skin conditions.
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 Tactile sensitivity in the rat: a correlation between receptor structure and function
Rats have different touch receptors in their paws that help with movement and handling objects.
research 144 Evaluation of contamination and quantification of drug penetrations studies using Quantitative Mass Spectrometry Imaging
QMSI effectively maps and quantifies drug distribution in skin tissues.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research Intravital Two-Photon Imaging of Touch Sensory Axon Morphology in Mouse Skin
A new imaging method helps see and study touch nerve endings in mouse skin.
research Altered resting-state activity in seasonal affective disorder
People with Seasonal Affective Disorder have different brain activity in certain areas when resting.
research A novel method for visualizing hair lipids at the cell membrane complex: Argon sputter etching/scanning electron microscopy1
The method shows how hair lipids form specific patterns and their roles in hair structure.
research Hairline as a Neurosurgical Landmark
The hairline can reliably guide neurosurgical planning.
research Spatiotemporal dynamics of sensory neuron and Merkel-cell remodeling are decoupled during epidermal homeostasis
Merkel cells stabilize nerve endings in the skin, and they change independently of each other.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research KCNQ4 K+ channels tune mechanoreceptors for normal touch sensation in mouse and man
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
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.
research A subpopulation of itch‐sensing neurons marked by Ret and somatostatin expression
Scientists found a specific group of itch-sensing nerve cells in mice important for feeling itch but not for sensing heat or touch.
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 A Raman spectroscopy investigation of the resilience of hair cuticular scales under uniaxial stress
research Objective quantification of chemotherapy-induced madarosis: a pilot study of an automated computer vision pipeline for eyebrow density assessment
The tool accurately tracks eyebrow hair loss in chemotherapy patients.