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- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Publicly Available Large Language Models for Trichoscopy: A Head-to-Head Comparison with Dermatologists
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Artificial intelligence-guided nanozyme engineering for chronic wound healing: from rational design to precision therapeutics
- Topical 4‐Aminopyridine 5% in Male Androgenetic Alopecia: A Split‐Scalp Exploratory Series
- Efficacy and Potential Mechanisms of Naringin in Atopic Dermatitis
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Decoding Gut Microbiome Dysbiosis as a Non-Invasive Diagnostic Biomarker for Alopecia Areata
- A Retrospective Study on Integrative Management of Androgenic Alopecia with Individualized Homoeopathy, Xogen Therapy and Lifestyle Optimization- A Case Series
- Dataset from the uniaxial tensile testing of human curly hair fibers under different conditions
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- A comparative analysis of three explanatory models of mental disorder and a preferred focus of explanation
- Hypoxia-Derived Mesenchymal Stem Cell Exosomes Downregulate CXCL12 and Upregulate IL-10 Expression in a Murine Model of Androgenic Alopecia
- Incidence of alopecia in brain tumour patients treated with pencil scanning proton therapy and validation of existing NTCP models
- Coping in Women With Polycystic Ovary Syndrome: Implications for Practitioners
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- Artificial Intelligence in Hair Disorders: A Narrative Review
- QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Quality of life in men treated for androgenetic alopecia via a virtual healthcare platform: a retrospective cohort study
- Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
- Combined Molecular Hydrogen and Vitamin C Treatment in Irradiated Normal and Cancer Cell Models: An Exploratory In Vitro Study and Case Reports
- <i>IGF2BP2</i> and <i>IGFBP3</i> Genotypes, Haplotypes, and Genetic Models Studies in Polycystic Ovary Syndrome
- Can Artificial Intelligence Support Patient Education in Scabies? A Comparative Analysis of Large Language Model Responses
- Single-cell analysis of temporal immune cell dynamics in alopecia areata reveals a causal role for clonally expanded CD8+ T cells in disease
- Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets