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Research 301–330 of 1000+
- Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
- Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment.
- Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Microbial dysbiosis and its diagnostic potential in androgenetic alopecia: insights from multi-kingdom sequencing and machine learning
- Using machine learning to identify predictors of maternal and infant hair cortisol concentration before and during the COVID-19 pandemic
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
- Enhanced Hair Disease Classification Using Deep Learning
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
- Investigating Different Deep learning Models for Classification of Folliculitis
- Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
- Deep Learning-based Automatic System for Diagnosis and Classification of Skin Dermatoses
- Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- A learning module in hair restoration surgery: A simple and economic method to learn all steps of strip method of hair follicles harvesting and implantation
- Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
- Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
- Weakly supervised learning of biomedical information extraction from curated data
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
- A machine learning and network framework to discover new indications for small molecules
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
- Problem-Based Learning Tools: Problem-Based Learning Pedagogy and Strategies Are Used to Implement Project-Based Science
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation