Kwaku Ansong

The researcher's work focuses on advancing interpretable machine learning models for predictive healthcare analytics, particularly in leveraging deep learning techniques for disease progression prediction and treatment response estimation. Their innovative approach emphasizes algorithmic fairness, ensuring that AI systems are transparent and trustworthy in medical applications, with a diverse dataset of diverse healthcare outcomes from various disease domains. By developing scalable computational methods optimized for large-scale data processing, the researcher contributes to precision medicine by enhancing decision-making through accurate predictive modeling.