research MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes
MendelVar is a tool that helps identify important genes by combining GWAS data with Mendelian disease information.
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research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
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 The C3H/HeJ mouse and DEBR rat models for alopecia areata: review of preclinical drug screening approaches and results
Both mouse and rat models are effective for testing alopecia areata treatments.
research Discoid lupus erythematosus skin lesion distribution and characteristics in Black patients: a retrospective cohort study
Black patients with discoid lupus erythematosus have more severe skin damage and higher chances of dyspigmentation, scalp, and ear involvement.
research Second-to-fourth digit ratio and seborrheic dermatitis in males: a cross-sectional study*
Finger length ratios might predict risk for skin condition in males.
research 5α-Reductase Inhibitors, Chemical and Clinical Models
Researchers developed a model to predict how well certain compounds can block an enzyme related to hair loss and prostate issues, suggesting a 50 mg dose of finasteride might be effective based on lab and body data.
research De novo single-nucleotide and copy number variation in discordant monozygotic twins reveals disease-related genes
The research found genetic differences in identical twins that could explain why one twin has a disease while the other does not.
research A probabilistic Boolean model on hair follicle cell fate regulation by TGF-β
TGF-β and TNF influence hair follicle cell fate, with TNF being more effective in triggering cell death.
research 8280186 Biomarkers for Occupational Hand Eczema: Improving Diagnostic Differentiation
Certain biomarkers can help distinguish between irritant and allergic contact dermatitis.
research Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies
The model helps understand alopecia areata and suggests better treatment strategies.
research Prediction of gain-of-function and loss-of-function mutations using Combined Annotation Dependent Depletion (CADD)
C-scores can help predict gain-of-function and loss-of-function mutations.
research Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
research ANTHROPOMETRIC ASSESSMENT OF DIGIT LENGTHS AND DIGIT RATIOS OFVITILIGO SUBJECTS IN PORT HARCOURT, RIVERS STATE
Understanding the 2D:4D digit ratio in vitiligo patients may help in clinical assessments.
research Analysis of Animal Models of Alopecia Areata(AA) Based on Clinical Features of Traditional Chinese and Western Medicine
Better models and evaluation methods for alopecia areata are needed.
research Evaluation of the predictive capacity of DNA variants associated with straight hair in Europeans
Certain DNA variants can predict straight hair in Europeans but are not highly specific.
research Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
research Altered polyamine profiling in the hair of patients with androgenic alopecia and alopecia areata
The conclusion is that balancing cost and carbon emissions in hybrid power systems is crucial, especially when high reliability is needed, but the model needs to consider all device efficiencies and distribution losses.
research Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases
The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
research Trichoscopic Differentiation in Alopecia: Retrospective Case Series Comparing Lichen Planopilaris, Discoid Lupus Erythematosus, and Alopecia Areata
Exclamation-mark hairs and yellow dots indicate alopecia areata, while follicular ostia loss and white scarring indicate lichen planopilaris and discoid lupus erythematosus.
research Homology Modeling of 5-alpha-Reductase 2 Using Available Experimental Data
Accurate protein modeling can help develop new treatments for prostate cancer and other diseases.
research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
research A Novel In Vivo Active Pemphigus Model Targeting Desmoglein1 and Desmoglein3: A Tool Representing All Pemphigus Variants
New mouse models of Pemphigus show severe symptoms and need better treatments.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research Explaining and predicting the single channel versus multi-channel consumer: the case of an embarrassing product
The Theory of Planned Behaviour predicts consumer behavior better when emotions, personality, demographics, and marketing are included.
research Rac-dependent signaling from keratinocytes promotes differentiation of intradermal white adipocytes
Signals from skin cells controlled by Rac proteins help turn certain precursor cells into white fat cells.
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 Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.