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210-240 / 1000+ resultsresearch A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
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 CHROMALENS PRECISION MAPPING AS AN INNOVATIVE SYSTEM FOR MICROZONAL HAIR ANALYSIS: STRUCTURE, ALGORITHM, AND COMPARISON WITH CLASSICAL COLORING TECHNIQUES
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 Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
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.
research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
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 Involucrin: A Constituent of Cross-Linked Envelopes and Marker of Squamous Maturation
Involucrin is crucial for skin cell maturation and protection.
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 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 Dynamic spatiotemporal coordination of neural stem cell fate decisions through local feedback in the adult vertebrate brain
Neural stem cells use local feedback to maintain balance in the adult brain.
research Prenatal transplantation of epidermal neural crest stem cells in malformation of cortical development mouse model
EPI-NCSCs from hair follicles may help treat brain development issues in mice.
research Three-Dimensional Organoid System Transplantation Technologies in Future Treatment of Central Nervous System Diseases
Neural organoids show promise for future CNS disease treatments.
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 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 [The treatment of epilepsies with Convulsofin].
Convulsofin effectively treats primary epilepsy but has some side effects.
research Olig2 positive cells derived from hair follicle neural crest stem cells in rats
Researchers found a way to make rat hair follicle cells start turning into motor neuron-like cells, but couldn't fully turn them into working motor neurons.
research Canine Epidermal Neural Crest Stem Cells: Characterization and Potential as Therapy Candidate for a Large Animal Model of Spinal Cord Injury
Canine epidermal neural crest stem cells could be a promising treatment for spinal cord injuries in dogs.
research In vitro neural differentiation of CD34 + stem cell populations in hair follicles by three different neural induction protocols
Hair follicle stem cells can become neural cells using different methods, with varying efficiency.
research Foundations of Bayesian Networks
Bayesian networks are tools for modeling variables' probabilistic relationships, which can efficiently represent complex probabilities and help in making inferences.
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 Understanding hair disorders through artificial intelligence: DALLE's role in image creation
DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
research Computer aided classification of female androgenetic alopecia-an image processing and analysis system
research Evaluation of hypoglycemic and anti-hyperglycemic potential of Tridax procumbens (Linn.)
Tridax procumbens significantly lowers blood sugar in diabetic rats.
research Assessment and Treatment Outcomes of Persistent Radiation-Induced Alopecia in Patients With Cancer
Persistent radiation-induced hair loss is dose-dependent, and treatments like topical minoxidil can be effective.
research Structural changes in trichocyte keratin intermediate filaments during keratinization
Keratin structure changes during keratinization, but the exact model remains uncertain.
research A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
The technique accurately identifies and evaluates hair follicle structures in skin.
research Incidence of alopecia in brain tumour patients treated with pencil scanning proton therapy and validation of existing NTCP models
A standardized scoring system is needed to improve model reliability for predicting hair loss in brain tumor patients treated with proton therapy.