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Research 151–180 of 169
- Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
- Hair Growth Promoting Effects of 15-Hydroxyprostaglandin Dehydrogenase Inhibitor in Human Follicle Dermal Papilla Cells
- Recent Updates of the CRISPR/Cas9 Genome Editing System: Novel Approaches to Regulate Its Spatiotemporal Control by Genetic and Physicochemical Strategies
- Fractional microneedle radiofrequency - mechanism of action and assessment of safety, effectiveness in the treatment, and possible side effects based on a review of scientific literature
- Estimating Scalp Moisture in a Hat Using Wearable Sensors
- Advances in 3D Printed Bone Implants: Smart Responsive Antibacterial Strategies and AI-Driven Design
- Common Skin Diseases and Metabolic Syndrome: A Proinflammatory Chemokine Perspective
- A Facile and Biocompatible Hydrogel Based on Oxidized <i>Brachybotrys paridiformis</i> Polysaccharide for Enhanced Wound Healing
- Fully functional hair follicle organ regeneration using organ-inductive potential stem cells with an accessory mesenchymal cell population in an in vitro culture system
- Immunosenescence and inflammaging in Parkinson’s disease: mechanisms and therapeutic prospects
- Innovations in skin microphysiological systems for nonclinical testing and FDA modernization
- Regenerative Strategies for Androgenetic Alopecia: Evidence, Mechanisms, and Translational Pathways
- Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
- Effects of TGFBR1 on Proliferation of Dermal Papilla Cells in Fine-Wool Sheep
- Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
- Optimizing Skin Quality via AI-Enhanced Physical Activity
- Loose Anagen Hair Associated with Wooly Hair Caused by a Heterozygous, Intronic KRT71 Variant
- Proteomics Reveals the Role of PLIN2 in Regulating the Secondary Hair Follicle Cycle in Cashmere Goats
- Repurposing DPP4-Inhibition to Improve Hair Follicle Activation and Regeneration
- Prediction of Alopecia Areata using CNN
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning