research Cutaneous Adnexal Cysts Revisited: What We Know and What We Think We Know
A new classification system for skin cysts was proposed to improve diagnosis.
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330-360 / 1000+ results research Dermoscopic Findings and Their Therapeutic Implications in Trichostasis Spinulosa: A Retrospective Study of 306 Patients
Dermoscopy improves diagnosis and treatment planning for trichostasis spinulosa.
research Analytical method for the biomonitoring of bisphenols and parabens by liquid chromatography coupled to tandem mass spectrometry in human hair
A new method accurately detects bisphenols and parabens in human hair.
research Chromatographic method for clobetasol propionate determination in hair follicles and in different skin layers
A new method accurately measures clobetasol propionate in hair and skin.
research Hair Breakage in Patients of African Descent: Role of Dermoscopy
Dermoscopy helps quickly identify hair breakage in people of African descent.
research Dermoscopy in hair disorders
Dermoscopy improves diagnosis of hair and scalp disorders and can help avoid unnecessary biopsies.
research The current state of play in the histopathologic assessment of alopecia: two for one or one for two?
The document concludes that choosing the right biopsy site is crucial for accurate alopecia diagnosis, and combining methods can improve results.
research Observation on cadavers and through ultrasonography using a 2 mm needle length for intradermal injections
A 2 mm needle is effective and precise for skin injections.
research The Percentage of Free PSA and Urinary Markers Distinguish Prostate Cancer from Benign Hyperplasia and Contribute to a More Accurate Indication for Prostate Biopsy
% free PSA and urinary markers help better identify prostate cancer.
research Chemical Fingerprint and Quantitative Analysis for the Quality Evaluation of Platycladi cacumen by Ultra-performance Liquid Chromatography Coupled with Hierarchical Cluster Analysis
The new method is rapid, sensitive, and accurate for evaluating the quality of the medicinal herb Platycladi cacumen.
research RESEARCHComparing Strategies for Identifying Falls in Older Adult Emergency Department Visits Using EHR Data
Natural language processing is the most accurate method for identifying falls in older adults in emergency departments.
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 Use of Low-Cost Videomicroscopy versus Standard Videodermatoscopy in Trichoscopy: A Controlled, Blinded Noninferiority Trial
Low-cost videomicroscopes are not as reliable as standard videodermatoscopes for scalp examination due to lower image quality.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
research Patient experience in systemic lupus erythematosus: development of novel patient-reported symptom and patient-reported impact measures
New tools were created to help lupus patients report their symptoms and impacts more accurately.
research A technique for more precise distinction between catagen and telogen human hair follicles ex vivo
Researchers developed a new method using methylene blue staining to more accurately identify the growth stage of human hair follicles.
research Pattern of skin disease in Hail region of Saudi Arabia
The most common skin diseases in Hail, Saudi Arabia, are eczema and acne, with more women affected than men.
research A study of serial vertical sectioning of scalp biopsies to increase the histological diagnostic yield in alopecias
Cutting scalp biopsies in consecutive slices improves diagnosis of hair loss conditions.
research In Situ Self-Assembling Liver Spheroids with Synthetic Nanoscaffolds for Preclinical Drug Screening Applications
PCL nanoscaffold-based liver spheroids are effective for drug screening and studying liver toxicity.
research Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
IGF2BP3 and other m6A-related genes are linked to keloid formation and could be potential treatment targets.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research Study of item text in the Chinese Symptom Checklist-90
The revised Chinese Symptom Checklist-90 is more reliable and valid for psychological assessments.
research Simple and Selective HPLC-UV/Vis Bioanalytical Method to Determine Aluminum Phthalocyanine Chloride in Skin Permeation Studies
A new method accurately measures a drug in skin for cancer therapy research.
research Trichostasis spinulosa of the scalp mimicking Alopecia Areata black dots
A man's scalp condition was misidentified as hair loss dots but was actually a common follicular disorder.
research Analysis of potentially toxic contaminants in milk powder
Milk powder in Romania often has unsafe levels of aluminum and other elements, posing health risks.
research The Complexities of Iron Deficiency in Patients After Bariatric Surgery
People often have iron deficiency after weight-loss surgery, which can cause symptoms like hair loss and dizziness, and iron levels should be tested to diagnose it.
research A Method to Monitor Dutasteride in Rat Plasma Using Liquid-Liquid Extraction and Multiple Reaction Monitoring: Comparisons and Validation
The best method to monitor dutasteride in rat plasma is liquid-liquid extraction with methyl tert-butyl ether and methylene chloride.
research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.