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Research 30 of 59
- Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
- CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
- Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Nontested Compounds
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- BaldPredict: AI-Driven Prediction Model for Alopecia Areata
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning
- Predictive Modeling of Hair Fall using Random Forest Algorithms
- 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- 891 Comparison of phenotypes and transcriptomes of mouse skin-derived precursors and dermal mesenchymal stem cells
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- The Microanatomy of Human Skin in Aging
- Deep phenotyping of skin tissue remodeling in patients with systemic sclerosis treated with CD19-CAR T cells
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Hair and scalp disease detection using deep learning
- A multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
- Molecular heterogeneity of quiescent melanocyte stem cells revealed by single-cell RNA-sequencing
- Ethnomedicinal and Phytochemical Studies of Eclipta alba (A Review)
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
- Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
- scMC learns biological variation through the alignment of multiple single-cell genomics datasets
- Drug Repositioning: New Approaches and Future Prospects for Life-Debilitating Diseases and the COVID-19 Pandemic Outbreak
- Light Sheet Fluorescence Microscopy Quantifies Calcium Oscillations in Root Hairs of<i>Arabidopsis thaliana</i>