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- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
- KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
- An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
- A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
- PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
- Artificial Intelligence in Hair Disorders: A Narrative Review
- Construction strategies of skin organoids: A review
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