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Research 91–120 of 110
- Application of Marine Microbial Natural Products in Cosmetics
- The coenzyme A precursor pantethine enhances antitumor immunity in sarcoma
- Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
- Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
- Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
- Cutaneous Side Effects of Oral Contraceptives
- Zinc as an ambivalent but potent modulator of murine hair growth in vivo- preliminary observations
- Metabolic syndrome and the skin: a more than superficial association. Reviewing the association between skin diseases and metabolic syndrome and a clinical decision algorithm for high risk patients
- Hirsutism: diagnosis and treatment
- Self-Assessments of Standardized Scalp Massages for Androgenic Alopecia: Survey Results
- Evaluation of a hot‐wire hair removal device compared to razor shaving
- Mohs Surgery
- The zombie commodity: hair and the politics of its globalization
- Is there a therapeutic effect of botulinum toxin on scalp alopecia? Physiopathology and reported cases: A systematic review of the literature
- Exome-wide age-of-onset analysis reveals exonic variants in ERN1 and SPPL2C associated with Alzheimer’s disease
- Plasticity and Cytokinetic Dynamics of the Hair Follicle Mesenchyme: Implications for Hair Growth Control
- Polycystic ovary syndrome and mental health: a call to action
- A novel control of human keratin expression: cannabinoid receptor 1-mediated signaling down-regulates the expression of keratins K6 and K16 in human keratinocytes<i>in vitro</i>and<i>in situ</i>
- Keratinocyte-Expressed Podoplanin is Dispensable for Multi-Step Skin Carcinogenesis
- The Molecular Architecture for the Intermediate Filaments of Hard<i>α</i>-Keratin Based on the Superlattice Data Obtained from a Study of Mammals Using Synchrotron Fibre Diffraction
- An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Gaining New Insights in Plant Biology through Human–Machine Collaboration
- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
- JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
- ARTIFICIAL INTELLIGENCE AND THE DIAGNOSTIC INVISIBILITY OF WOMEN’S METABOLIC DISORDERS: A NARRATIVE REVIEW OF SOCIO-TECHNICAL CHALLENGES IN PCOS/PMOS RECOGNITION