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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
- Multivariate Profiles of Female Sexual Function: A Cluster Analysis of FSFI Domains in Women with and Without PCOS
- Mesenchymal Stem Cell-Derived Extracellular Vesicles and Plant-Derived Nanovesicles as Cell-Free Therapies for Thermal Burn Healing: A Systematic Review of Preclinical Evidence and Delivery Strategies
- Baseline Neutrophil-to-Lymphocyte Ratio Stratifies Early Trichoscopic Response to Platelet-Rich Plasma–Based Regimens in Non-Scarring Alopecia: A Real-World Cohort with Internal Validation Using an Interpretable Neural Network
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Targeted transgenic expression of the mutation causing Hutchinson-Gilford progeria syndrome leads to proliferative and degenerative epidermal disease
- Smart Diagnostic System for Health Risk Assessment
- Artificial Intelligence in Aesthetic Medicine: Applications, Challenges, and Future Directions
- Business Continuity and Risk Mitigation in the Pharmaceutical Industry: Strengthening Supply Chains for Pandemic Preparedness
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Hair cluster detection model based on dermoscopic images
- The Rotterdam Study: 2016 objectives and design update
- The Rotterdam Study: objectives and design update
- Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
- scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
- Progress in Topical and Transdermal Drug Delivery Research—Focus on Nanoformulations
- Data-driven strategies for drug repurposing: insights, recommendations, and case studies
- Conservation of marine habitats under multiple human uses : Methods, objectives and constraints to optimize a Marine Protected Areas network in the Eastern English Channel
- Integration of Point-of-Care Technology in the Decoding Process of Single Nucleotide Polymorphism for Healthcare Application †
- Pharmacogenomic variation and chemotherapy-related toxicity profiles in pediatric patients with cancer in Tanzania: a cross-sectional study