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- Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
- Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
- LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
- Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
- 3D Bioprinting Skin Equivalents: A Methodological Perspective on Human Keratinocyte and Fibroblast Models for Wound Repair and Regeneration
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