| AI for Generating Real-World Evidence in Cancer |
| Amber Simpson |
| October 6, 2023, Friday, 2:00 PM - 3:00 PM EDT |
| Abstract Real World Evidence (RWE) is increasingly sought by the FDA to assess the performance of cancer therapeutics after regulatory approval. Understanding how cancer drugs perform in the "Real World" and identifying the subset of patients most likely to benefit from different treatments is essential for the application of personalized medicine. In this talk, I will present results from our lab analyzing >1 million radiology reports across many cancers, to understand metastases patterns for the generation of RWE in cancer. I will also present our work in crowd-sourced challenges to show how we can move the needle in the generation of RWE. |
| Bio Dr. Simpson is the Canada Research Chair in Biomedical Computing and Informatics and Associate Professor in the School of Computing (Faculty of Arts and Science) and Department of Biomedical and Molecular Sciences (Faculty of Health Sciences). She specializes in biomedical data science and computer-aided surgery. Her research group is focused on developing novel computational strategies for improving human health. She joined the Queen's University faculty in 2019, after four years as faculty at Memorial Sloan Kettering Cancer Center in New York and three years as a Research Assistant Professor in Biomedical Engineering at Vanderbilt University in Nashville. She is an American Association of Cancer Research award winner and the holder of multiple National Institutes of Health grants. She received her PhD in Computer Science from Queen's University. |