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Research 91–120 of 1000+
- Performance exploration of multi-gene panels of alopecia areata susceptibility and drug-binding targets
- Decoding Gut Microbiome Dysbiosis as a Non-Invasive Diagnostic Biomarker for Alopecia Areata
- Unique Circulating MicroRNA Signatures Distinguish Severe Alopecia Areata from Other Inflammatory Skin Diseases
- Integrated single-cell chromatin and transcriptomic analyses of human scalp reveal etiological insights into genetic risk for hair and skin disease
- Abstracts from the 55th European Society of Human Genetics (ESHG) Conference: Oral Presentations
- Nanotechnology-Based Strategies for Hair Regeneration: Mechanistic Insights and Translational Perspectives for Androgenetic Alopecia
- 8280186 Biomarkers for Occupational Hand Eczema: Improving Diagnostic Differentiation
- The 3D Bioprinted Scaffolds for Wound Healing
- Emerging smart microneedle technologies in psoriasis: convergence of nanocarriers, machine learning, and personalized delivery
- Global Research Trends for Platelet-Rich Plasma: A Science Mapping with Machine Learning Techniques
- Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
- What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning
- Machine Learning Guided Discovery of Superoxide Dismutase Nanozymes for Androgenetic Alopecia
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning
- Machine Learning Applications for Drug Repurposing
- Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
- Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
- GBP1 as a machine learning-prioritized biomarker and therapeutic target for epstein-barr virus-induced clear cell renal cell carcinoma: multi-omics causal validation
- Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
- Scalp disease analysis using deep learning models
- The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
- Treatment options and emotional well-being in patients with rosacea: An unsupervised machine learning analysis of over 200,000 posts
- Innovative approaches to baldness detection and management with artificial intelligence and machine learning
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review