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Research 31–60 of 1000+
- Supplementary Figure 2 from Male-Pattern Vertex Baldness Trajectories, Chest Hair Patterns, and Odds of Overall and Aggressive Prostate Cancer
- ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
- Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
- Genetic prediction of male pattern baldness based on large independent datasets
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Psychological Stress and Sleep Disturbance as Emerging Determinants of Hair Health: Mechanisms, Premature Greying, Hair Loss, and Preventive Strategies
- Psychological Stress and Sleep Disturbance as Emerging Determinants of Hair Health: Mechanisms, Premature Greying, Hair Loss, and Preventive Strategies
- Discriminative models of the possibility of occurrence and features of the course of alopecia areata in Ukrainian men depending on the features of body structure and size indicators
- Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
- A COMPARTMENTAL MODEL OF URANIUM IN HUMAN HAIR FOR PROTRACTED INGESTION OF NATURAL URANIUM IN DRINKING WATER
- A Novel Nomogram for Predicting Gonadotropin-Releasing Hormone Analogue Treatment Outcome in Girls with Idiopathic Central Precocious Puberty
- Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
- Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
- CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
- Testing the impact of trait prevalence priors in Bayesian-based genetic prediction modeling of human appearance traits
- A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
- Estimating the Effect of Finasteride on Kallikrein Marker Levels in Blood and the Use of Converted Markers in the Four-Kallikrein Model
- Use of Single‐Cell Data and scPagwas Analysis to Identify T Cell Subsets and Construct a Prognostic Model for Clear Cell Renal Cell Carcinoma
- 200 Deep learning model to predict sentinel lymph node status in melanoma patients
- A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
- Radiomics Nomogram for Early Diabetic Kidney Injury Prediction from Ultrasound Cohorts
- A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
- Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study
- Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study
- Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models
- A Geometric Framework for Predicting Donor Area Thinning After Follicular Unit Excision
- QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
- Pharmacophore and Atom Based 3D QSAR Studies on the Novel 5-Alpha-Reductase Inhibitors