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- Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
- Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- 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
- Emerging smart microneedle technologies in psoriasis: convergence of nanocarriers, machine learning, and personalized delivery
- A machine learning and network framework to discover new indications for small molecules
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