research Chronic telogen effluvium is due to a reduction in the variance of anagen duration
Chronic hair shedding may be caused by less variation in hair growth times and might stop on its own after several years.
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research Biomechanical properties of scalp flaps and their correlations to reconstructive and aesthetic surgery procedures
Scalp flaps are stiffer than skin from other body areas, which helps in planning reconstructive and cosmetic head surgeries.
research Human gene correlation analysis (HGCA): A tool for the identification of transcriptionally co-expressed genes
The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
research Integrated flow injection-solid phase spectrophotometric determination of minoxidil
New method measures minoxidil concentration faster, more accurately, and automatically.
research Current concepts in aesthetic endocrinology
Hormones affect skin aging and fat distribution, and treatments can help, but only minoxidil is proven for female hair loss.
research Use of adapalene in alopecia areata: Efficacy and safety of mometasone furoate 0.1% cream versus combination of mometasone furoate 0.1% cream and adapalene 0.1% gel in alopecia areata
Combining mometasone furoate cream with adapalene gel is safer and more effective for hair regrowth in alopecia areata than using the cream alone.
research Topical sodium valproate-loaded nanospanlastics versus conventional topical steroid therapy in alopecia areata: a randomized controlled study
Both treatments for alopecia areata showed similar modest effectiveness.
research The Role of Interface Geometry and Appendages on the Mesoscale Mechanics of the Skin
Skin's uneven surface and hair follicles affect its stress and strain but don't change its overall strength, and help prevent the skin from peeling apart.
research Quantitative morphometric analysis of hair follicles in alopecia areata
Automated image analysis helps diagnose and monitor alopecia areata by efficiently measuring hair follicles.
research ISID0197 - Quantitative analysis of hair loss in mice utilizing imageJ improves the efficacy evaluation of alopecia areata induction in the C3H/HeJ mouse model
A new image-based method improves accuracy in measuring hair loss in mice.
research 368 Methods in Inflammatory Hair Disease Research: Enhanced Multiplex Imaging on Alopecia Areata Tissue Sections
New imaging technology can show up to 40 different markers in hair loss tissue, helping to understand hair disease better.
research RETRACTED: Is photoshop with Qualitative Image Analysis a valid technique for measuring hair morphology? A test using wires of known dimensions
QIA-64 software can measure straight wire lengths accurately but needs improvement for curved wires and width measurements.
research In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks
research Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
research AI06 ALUDWIG: an automated artificial intelligence-based assessment of female androgenic alopecia
ALUDWIG can help standardize female hair loss assessment from a single image.
research 197 Quantitative analysis of hair loss in mice utilizing imageJ improves the efficacy evaluation of alopecia areata induction in the C3H/HeJ mouse model
A new image-based method improves accuracy in measuring hair loss in mice.
research Automated analysis of scanning electron microscopic images for assessment of hair surface damage
A new automated method accurately measures hair damage using microscopic images.
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 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 Advancing Hair Loss Assessment in Alopecia Areata: The Mathematical Case for Centralised, Standardised Imaging
Centralized imaging provides more accurate and consistent hair loss measurements in alopecia areata.
research Artificial Intelligence in Hair Disorders: A Narrative Review
AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
research Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
research Quantitative image analysis for hereditary hair disorders
research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
research “TRICHOASSIST” Trichogram Hair and Scalp Feature Extraction and Analysis Using Image Processing
"TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
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 Artificial Intelligence in Dermatology: Crossing the Frontier.
AI can greatly improve skin cancer diagnosis and treatment.
research 596 Application of an artificial intelligence (AI) photographic device to track platelet-rich plasma treatment outcomes in females with alopecia
An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.
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.