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Research 121–150 of 1000+
- Abstracts from the 2024 WDS Forum - virtual option
- A State-of-the-Art Overview on (Epi)Genomics and Personalized Skin Rejuvenating Strategies
- Regenerative Strategies for Androgenetic Alopecia: Evidence, Mechanisms, and Translational Pathways
- DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Quantitative analysis and development of alopecia areata classification frameworks
- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
- Detecting shortcut learning for fair medical AI using shortcut testing
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
- Past, present, and future of global research on artificial intelligence applications in dermatology: A bibliometric analysis
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
- KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
- Autonomous Robotic Surgery: Has the Future Arrived?
- Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
- Hair analysis based on medical history and spatial-temporal data
- Role of Drug Repurposing in Sustainable Drug Discovery
- Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
- A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
- Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications
- Grand challenges in dermatologic drug discovery: four priorities to transform skin disease treatment
- Demonstrating the potential of untargeted hair proteomics for personalized biomarkers in stress-associated disorders
- Artificial Intelligence in Aesthetic Medicine: Applications, Challenges, and Future Directions