Xiangtian Hui Explores Machine Learning in Healthcare Data Systems for Cancer Informatics
Xiangtian Hui's research focuses on integrating data engineering, machine learning, and natural language processing to enhance healthcare data systems, particularly in cancer informatics. The studies aim to improve automated data collection, cancer diagnosis, and clinical-trial matching by treating data infrastructure as a foundational element for healthcare AI. The research highlights the potential of machine learning to support cancer diagnosis and improve the efficiency of matching patients with clinical trials. Additionally, the work explores medical entity recognition in unstructured text, aiming to convert medical records into structured data for better analysis. 
