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Research 28
- Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
- Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
- Prevalence of hyperandrogenism in Iraqi women with polycystic ovary syndrome
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Psikonöroimmünoloji ve Multifaktöryel Psikodermatolojik Hastalıklar
- MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
- Artificial Intelligence in Hair Disorders: A Narrative Review
- Hair cluster detection model based on dermoscopic images
- Optimizing hair transplant outcomes: integration of AI, robotics, and stem cell therapies
- Parry Romberg Syndrome: When the Diagnosis of a Rare Disease Is Made in the Primary Care Setting
- The Editor's Choice
- Plants in Hair Cosmetics
- [Valproic acid, curly hair and weight gain].
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- Advances in Digital Light Processing (DLP) Bioprinting: A Review of Biomaterials and Its Applications, Innovations, Challenges, and Future Perspectives
- KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Regenerative Strategies for Androgenetic Alopecia: Evidence, Mechanisms, and Translational Pathways
- Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
- Parry–Romberg Syndrome: Radioclinical Dissociation in a Paucisymptomatic Form and a Proposed Diagnostic Framework
- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Microalgal Biofactories: Sustainable Solutions for Nutrition and Cosmetics
- Genetic Prediction of Eye, Hair, and Skin Color: Forensic Applications and Challenges in Latin American Populations
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning
- Inflammatory Signatures and Biological Markers in Platelet-Rich Plasma Therapy for Hair Regrowth: A Comprehensive Narrative Analysis