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Scalp surgery guidelines ensure best cosmetic results and fewer complications.
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210-240 / 1000+ results research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
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 A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
The method effectively grouped tweets into categories without knowing the number of groups beforehand.
research FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
The model accurately detects alopecia areata with 84.3% accuracy.
research MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov–Arnold network and data augmentation
MultiKano accurately identifies cell types in complex data better than existing methods.
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research Construction of Tissue-Engineered Nerve Conduits Seeded with Neurons Derived from Hair-Follicle Neural Crest Stem Cells
Neurons from hair follicles can help repair damaged nerves.
research 200 Deep learning model to predict sentinel lymph node status in melanoma patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
research Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study
AI can accurately diagnose and assess alopecia areata using scalp images.
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 Coupled 3D reconstruction of sparse facial hair and skin
The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research Hair Loss Diagnosis Using Artificial Neural Networks
Neural networks can effectively predict hair loss.
research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
research 464 Spatial transcriptomics links gene expression profiles to functional and structural traits of darkly pigmented skin
Dark skin has stronger barriers and structure due to specific gene activity.
research ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.
research Neural crest cells and their potential therapeutic applications
Neural crest cells could be used in regenerative medicine due to their ability to become different cell types.
research Hair Color Digitization through Imaging and Deep Inverse Graphics
A new method accurately captures and renders hair color for real and synthetic images.
research Involucrin: A Constituent of Cross-Linked Envelopes and Marker of Squamous Maturation
Involucrin is crucial for skin cell maturation and protection.
research Deep Learning-based Automatic System for Diagnosis and Classification of Skin Dermatoses
The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research Midline Convergence: Nature’s Way to Maximize the Appearance of Midline Density
Nature uses midline convergence to make the center of something look denser or thicker.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research Primary Essential Cutis Verticis Gyrata: A Case Report with a Review of Literature
Primary essential CVG is a rare, benign scalp condition with treatment focusing on symptom management and hygiene.
research Uncomplicated differentiation of stem cells into bipolar neurons and myelinating glia
Hair follicles can be used to easily create neurons and glial cells for potential nerve repair.
research Application of second near infrared fluorescence imaging to trace CelTrac1000-labeled hair follicle epidermal neural crest stem cells in repairing rat facial nerve defects
NIR-II imaging effectively tracked stem cells that helped repair facial nerve defects in rats.
research Hair color digitization through imaging and deep inverse graphics
A new method accurately captures and renders hair color for virtual reality and hair dye use.