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- Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
- Detecting shortcut learning for fair medical AI using shortcut testing
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Hierarchical prototype alignment and regularization for semi-supervised alopecia areata segmentation
- MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
- KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
- Grand challenges in dermatologic drug discovery: four priorities to transform skin disease treatment
- Weakly supervised learning of biomedical information extraction from curated data
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Pharmacologically altered Androgens, Brain Activation and Response Inhibition in a Stop-Signal Task in Male Heavy Drinkers
- Quantitative analysis and development of alopecia areata classification frameworks
- Hair cluster detection model based on dermoscopic images
- How to Assess Dermatology Resident Surgical Training: New Techniques
- Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning
- 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
- Novel modulatory effects of neurosteroids and benzodiazepines on excitatory and inhibitory neurons excitability: a multi-electrode array recording study
- Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell Signaling Pathways
- From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
- Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review