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Research 181–210 of 1000+
- Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
- Scalp disease analysis using deep learning models
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
- PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
- Knowledge Mapping of Drug Repositioning’s Theme and Development
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
- Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
- JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
- Identification of Various Deficiencies Using Data Mining Techniques - A Survey
- Grand challenges in dermatologic drug discovery: four priorities to transform skin disease treatment
- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Artificial intelligence in dermatology: а scoping review
- A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
- Follicular unit extraction hair transplant.
- Terapia capilar: um novo modelo de formação profissional e negócio no setor de beleza masculino
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Transcriptomics analysis reveals molecular alterations underpinning spaceflight dermatology
- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
- ARTIFICIAL INTELLIGENCE AND THE DIAGNOSTIC INVISIBILITY OF WOMEN’S METABOLIC DISORDERS: A NARRATIVE REVIEW OF SOCIO-TECHNICAL CHALLENGES IN PCOS/PMOS RECOGNITION
- Artificial Intelligence in Hair Disorders: A Narrative Review
- Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
- Hair loss after covid 19 - case series
- Effect of surgeon's workload on rate of transection during follicular unit excision/extraction (FUE)
- Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
- Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
- Human Macrophages Preferentially Infiltrate the Superficial Adipose Tissue