research Histochemical observations of lectin-binding sites and keratin distribution in calcifying epithelioma of Malherbe.
Tumor cells in calcifying epithelioma of Malherbe resemble hair follicle cells.
Search
forProducts matching "clarifying shampoo"
Tracking 2 products like 705 Botanic Hearth Apple Cider Vinegar Shampoo - Clarifying and Nourishing, Reduces Itchy Scalp, Dandruff & Frizz and 42 Revive Shampoo from by companies like Amazon and Roman. View all 2 products »
Sort by
Research
90-120 / 1000+ results research STUDIES ON A SKIN CALCIFYING SYSTEM
Mild skin injury can trigger mineral deposits in rat skin, even without full calciphylactic response.
research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research Expression patterns of hair-related keratins and epithelial keratins in onychopapilloma: The significance of clarifying the origin of onychopapilloma
Onychopapilloma likely originates from the nail bed, not the nail matrix.
research A HISTOCHEMICAL TEST FOR CITRULLINE ADAPTATION OF THE CARBAMIDO DIACETYL REACTION TO HISTOLOGIC SECTIONS WITH POSITIVE RESULTS IN PILOMATRIXOMAS (CALCIFYING EPITHELIOMAS)
A new test more accurately detects citrulline in hair follicles and pilomatrixomas.
research Systemic and Topical Factors Involved in the Production of Experimental Cutaneous Calcinosis11From the Institut de Médecine et de Chirurgie expérimentales, Université de Montréal, Montréal, Canada.
Cutaneous calcinosis can be induced in young animals using certain compounds, but only in specific areas and with high mortality.
research Curl pattern classification: A potential tool for communication and risk stratification
Classifying curl patterns might help doctors assess and treat hair loss better.
research Alopecia classifications
Classifying alopecia helps diagnose and treat different types of hair loss accurately.
research Classification of hair disease
Classifying hair diseases, like alopecia, is difficult and needs more research to understand their causes.
research Peer Review #4 of "Inflammatory auxo-action in the stem cell division theory of cancer (v0.1)"
The reviewers suggest clarifying the abstract, adding background on inflammation's effect on stem cells and cancer, discussing immune cells' role in tumors, and considering inflammation's potential to reduce cancer growth.
research Peer Review #1 of "Inflammatory auxo-action in the stem cell division theory of cancer (v0.1)"
The reviewers suggest clarifying and expanding on the role of inflammation in stem cell-related cancer development.
research Peer Review #1 of "Inflammatory auxo-action in the stem cell division theory of cancer (v0.2)"
Reviewers suggest clarifying the abstract, adding background on inflammation's effect on cancer, discussing immune cell roles, including counter studies, and correcting grammar.
research Derivation and validation of the Systemic Lupus International Collaborating Clinics classification criteria for systemic lupus erythematosus
The new criteria for classifying lupus are more accurate and comprehensive.
research Proliferative and Non-Proliferative Lesions of the Rat and Mouse Integument
The project created a standardized system for classifying skin lesions in lab rats and mice.
research Reliability of the pattern hair loss classifications: A comparison of the basic and specific and N orwood–H amilton classifications
The BASP classification is more reliable than the Norwood-Hamilton for classifying hair loss in men and women.
research Congenital atrichia and hypotrichosis
The document emphasizes the importance of correctly identifying and classifying genetic hair disorders to help diagnose related health conditions.
research The New Classification Criteria of Systemic Lupus Erythematosus
The 2012 SLICC criteria provide an updated method for classifying Systemic Lupus Erythematosus.
research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
research Primary scalp alopecia: new histopathological tools, new concepts and a practical guide to diagnosis
The document concludes that new methods improve the accuracy of diagnosing scalp alopecia and challenges the old way of classifying it.
research Pull Test and Trichogram
Physical exams are important in hair loss diagnosis, considering cosmetic history, systemic diseases, and classifying alopecia types.
research 572 Defining chronic wound types in recessive dystrophic epidermolysis bullosa patients for clinical outcome assessment
The conclusion is that differentiating wound types in RDEB patients is important for clinical trials and understanding the disease.
research A Guide to Studying Human Hair Follicle Cycling In Vivo
The document provides a method to classify human hair growth stages using a model with human scalp on mice, aiming to standardize hair research.
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 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 Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
research In response to the letter to the editor by Soha Ghanian et al. re our publication “Shorter androgen receptor polyQ alleles protect against life-threatening COVID-19 disease in European males”
The authors maintain that shorter androgen receptor alleles may lead to milder COVID-19 by positively affecting the immune response, not due to changes in testosterone levels or activity.
research Shape Variability and Classification of Human Hair: A Worldwide Approach
Human hair can be classified into eight types based on physical features, not ethnicity.
research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
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 A Comparative Study on Adipose-Derived Mesenchymal Stem Cells Secretome Delivery Using Microneedling and Fractional CO2 Laser for Facial Skin Rejuvenation [Response to Letter]
Microneedling and fractional CO2 laser are compared as methods for delivering stem cell secretomes for skin rejuvenation.