research Trichoscopy
Trichoscopy is a non-invasive way to diagnose hair and scalp problems without needing hair samples.
Search
for
Sort by
Research
120-150 / 1000+ results 
research Trichoscopy in Hair Shaft Disorders
Trichoscopy is a useful tool for diagnosing hair disorders without pulling out hair.
research Prognosis and Management of Congenital Hair Shaft Disorders with Fragility—Part I
Some congenital hair disorders improve in childhood or with treatments like minoxidil and retinoids, while others like Netherton syndrome and trichothiodystrophy have a poor prognosis.
research Multiplex matrix network analysis of protein complexes in the human TCR signalosome
Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
research Trichoscopy as a diagnostic tool in trichorrhexis invaginata and Netherton syndrome
Trichoscopy is useful for diagnosing Netherton syndrome in children with skin issues.
research Differences in reproductive toxicology between alopecia drugs: an analysis on adverse events among female and male cases
Finasteride has a higher risk of reproductive side effects than minoxidil.
research Light microscopy of the hair: A simple tool to "untangle" hair disorders
Light microscopy is useful for diagnosing different hair disorders.
research Trichoscopy of Dark Scalp
Trichoscopy helps diagnose hair and scalp disorders in dark-skinned people by identifying unique patterns.
research Bioinformatics and Network Pharmacology Identify the Therapeutic Role and Potential Mechanism of Melatonin in AD and Rosacea
Melatonin could be an effective treatment for Alzheimer's Disease and rosacea.
research Regulatory Mechanisms of Natural Active Ingredients and Compounds on Keratinocytes and Fibroblasts in Mitigating Skin Photoaging
Natural ingredients may help reduce skin aging by protecting cells and boosting collagen.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Network-Based Approaches Reveal Potential Therapeutic Targets for Host-Directed Antileishmanial Therapy Driving Drug Repurposing
Researchers identified five new potential targets for leishmaniasis treatment, suggesting repurposing existing drugs could be effective.
research Disorders of hair
The document concludes that hair analysis is not good for assessing nutrition but can detect long-term heavy metal exposure.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research SNP variation in male pattern hair loss in Russians with different dihydrotestosterone levels
Certain gene variations increase male hair loss risk, influenced by hormone levels.
research De novo filament formation by human hair keratins K85 and K35 follows a filament development pattern distinct from cytokeratin filament networks
Human hair keratins K85 and K35 create unique filament patterns important for early hair formation.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Cutaneous manifestations associated with COVID-19 infection at a university hospital in eastern China
Skin symptoms like rashes and sores can indicate COVID-19 severity, especially in older people.
research Transcriptome sequencing reveals the expression profiles of lncRNAs and mRNAs in goat skin tissues with different types of wool coats
The study identified key genes and pathways that influence goat wool quality and growth.
research Three-dimensional ultrastructural analysis of human skin with the arrector pili muscle interacting with the hair follicle epithelium
The method effectively analyzes skin tissue changes, especially in the arrector pili muscle and nerve fibers with hair follicles.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
research Introducing the Micro-FUE and the Unshaven U- FUE (Undetectable)
OMICS International aimed to make scientific research freely accessible to everyone.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Plants in Hair Cosmetics
Commonly used plants in hair products can guide future research and help professionals recommend treatments.
research Hair follicle immune privilege in autoimmune and immune-mediated alopecias: paths toward reestablishing immune tolerance
Different types of alopecia cause hair loss due to immune system issues, with some allowing regrowth and others causing permanent loss.
research Network pharmacology, molecular docking, and dynamics reveal the mechanisms of Hejie Shengfa Decoction against alopecia areata
Hejie Shengfa Decoction may help treat alopecia areata by promoting hair growth and reducing inflammation, but more safety studies are needed.
research Network analysis reveals potential mechanisms that determine the cellular identity of keratinocytes and corneal epithelial cells through the Hox/Gtl2-Dio3 miRNA axis
Hox proteins help maintain keratinocyte identity by regulating miRNA expression.
research Network Pharmacology Reveals Curcuma aeruginosa Roxb. Regulates MAPK and HIF-1 Pathways to Treat Androgenetic Alopecia
Curcuma aeruginosa Roxb. may help treat hair loss by affecting specific biological pathways.
research Vulvovaginal involvement in Netherton syndrome: A case report
Netherton syndrome can cause severe and chronic vulvovaginal symptoms that may improve with continuous oral contraceptives.
research LncRNAs regulate the cyclic growth and development of hair follicles in Dorper sheep
Certain long non-coding RNAs are important for controlling hair growth cycles in sheep.