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- An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
- Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
- Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
- The intragenic mRNA-microRNA regulatory network during telogen-anagen hair follicle transition in the cashmere goat
- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
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