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- Development of a Predictive Model for Iron Levels in Bovine Muscle Tissue Using Hair as a Predictor
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study
- Prediction of water intake in hair sheep: development of a new model
- Prediction of water intake in hair sheep: development of a new model
- Pharmacophore Models for Toxicology Prediction
- In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
- A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
- Development of predictive regression model for perceived hair breakage in Indian consumers
- LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
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