Parallel Session 4 (Day 2): Room 1-05, 1st floor
Data science and AI in clinical trials and population data
The goals of this session are to explore the application of cutting-edge data science and AI methodologies in clinical trials and population data to accelerate knowledge on cancer aetiology, response to treatments and survivorship.
Chaired by Professor Montse Garcia-Closas
Big data - big biases ?
Professor Amy Berrington
Infrastructure for data science to enable discovery of translational work in large cohorts
Dr Maggie Cheang
Integrating real world health data to evaluate end of life care services in cancer
Marcel Al led
Leveraging Large Language Models for structured information extraction and standardization from breast cancer pathology reports
Dr Daniel Adams