Now showing items 1-2 of 2
A Bibliographic Overview of Colorectal Cancer Detection and Prevention Using Machine Learning Techniques
The idea of using machine learning techniques to identify colorectal cancer is a relatively new one, with most of the research being done in the last ten years. To determine the current state of research in this field, an ...
Comparison of Pathways and Detection Strategies for Pancreatic Ductal Adenocarcinoma (PDAC) Using Genetically Engineered Mouse Model (GEMM)
Pancreatic ductal adenocarcinoma (PDAC) is a deadly, invasive pancreatic cancer with 5-year survival for patients close to 7.1%. The difficulty of researching PDAC comes from a variety of factors that lead to its development, ...