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2024-10-11
Yuming Sun, Ph.D., Department of Mathematics, College of William & Mary
"Advancing Prognostic and Diagnostic Insights through Statistical Methods for Medical Imaging"
Medical images, such as X-rays and CT scans, are fundamental to modern healthcare, offering critical insights into disease diagnosis and progression. This talk highlights the crucial role of statistical analysis in maximizing the diagnostic and prognostic potential of medical imaging. By integrating imaging features with clinical data, we can improve outcome prediction, optimize treatment strategies, and make more informed, data-driven decisions in patient care. Drawing from three distinct studies focusing on COVID-19, occupational lung disease, and lung cancer, I will demonstrate how sophisticated models and analytical approaches can address challenges in data preprocessing, feature selection, and model integration. These case studies exemplify the transformative potential of combining clinical expertise, imaging data, and advanced statistical tools to address complex biomedical questions and improve patient outcomes
