research Survey of androgenetic alopecia in Liangshan district.
Androgenetic alopecia is more common in Chinese Han than in Chinese Yi in Liangshan.
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research 202 Automated assessment of tumor infiltrating lymphocytes informs mortality in thin melanoma
An automated system can predict death risk in thin melanoma by analyzing immune cells.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
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 Predictivity of fatty liver index for non-alcoholic fatty liver disease in lean females with polycystic ovary syndrome
The Fatty Liver Index (FLI) may not be enough to rule out non-alcoholic fatty liver disease in lean women with polycystic ovary syndrome.
research Genomic prediction and genome-wide association studies of morphological traits and distraction index in Korean Sapsaree dogs
Genomic prediction can improve breeding strategies for Korean Sapsaree dogs.
research rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
rwSALT provides precise hair regrowth measurement from scalp photos.
research Development of predictive regression model for perceived hair breakage in Indian consumers
The model predicts hair breakage based on key hair properties and helps product developers.
research NUMERICAL DESCRIPTOR COMPUTATION OF ALOPECIA DRUGS USING COM – POLYNOMIAL
Numerical methods help analyze alopecia drugs' properties effectively.
research A Simple Screening Approach for Assessing Community Prevalence and Phenotype of Polycystic Ovary Syndrome in a Semiurban Population in Sri Lanka
A simple screening method found that 6.3% of women in a semiurban area in Sri Lanka have polycystic ovary syndrome, with most showing menstrual irregularities.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research A study on multidimensional quantification of occupations : development of numerical criteria for a broad range of occupations
The study created a numerical system to describe and compare 601 jobs in Japan.
research Autosomal Recessive Woolly Hair Caused by LIPH Mutations: A Case Series of Six Chinese Patients
LIPH mutations cause woolly hair in some Chinese people.
research Case of autosomal recessive woolly hair/hypotrichosis with compound heterozygous mutations in the LIPH gene at c.742C > A and c.614A > G: The first Japanese case
The first Japanese case of a genetic hair disorder caused by specific mutations in the LIPH gene was identified.
research Clinical and laboratory indicators of polycystic ovary syndrome in Chinese Han nationality with different Rotterdam criteria-based phenotypes
Different types of PCOS in Chinese Han women show varying levels of male hormone and metabolic issues.
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 Clinicopathological insights into the phenotypic variation of autosomal recessive hypotrichosis/wooly hair by c.736T>A LIPH mutation
The conclusion is that the variation in hair thinness in patients is mostly due to the amount of underdeveloped hairs, and treatments that thicken fine hairs might work for those with mild to severe conditions.
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 Utilising SNP Association Analysis as a Prospective Approach for Personalising Androgenetic Alopecia Treatment
Genetic factors could lead to personalized treatments for hair loss.
research OR20-01 Machine Learning-based Steroid Metabolome Analysis In Women With Polycystic Ovary Syndrome Reveals Three Distinct Androgen Excess Subtypes With Different Metabolic Risk Profiles.
Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.
research Modified basic and specific (BASP) classification for pattern hair loss
The modified hair loss classification is more detailed but less user-friendly.
research LO-009 Responsiveness of the CLASI to alopecia and mucous membrane involvement: a retrospective study of prospectively collected data
Excluding alopecia and mucous membrane components from the CLASI-A score reduces its effectiveness in capturing important disease activity.
research Autosomal recessive woolly hair/hypotrichosis with homozygous mutation in the LIPH gene: a case report
A genetic mutation in the LIPH gene causes a rare hair disorder with sparse, curly hair.
research Causal Relationship Between Sleep Characteristics and Alopecia Areata and Other Non-Scarring Alopecia: A Two-Sample Bidirectional Mendelian Randomization Analysis
Insomnia may increase alopecia areata risk, but more research is needed.
research Validation of Chinese Version of Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (Chi-PCOSQ)
The Chi-PCOSQ is effective for assessing health-related quality of life in Chinese women with PCOS.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
Machine learning is effective in predicting gene functions and their relationships with diseases.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
research Clinical-exome sequencing unveils the genetic landscape of polycystic ovarian syndrome (PCOS) focusing on lean and obese phenotypes: implications for cost-effective diagnosis and personalized treatment
Early diagnosis and personalized treatment for PCOS are crucial, especially for young women in West Bengal, India.
research Development of the CLASI as an outcome instrument for cutaneous lupus erythematosus
The CLASI is a reliable tool for measuring the severity of cutaneous lupus erythematosus.