Machine Learning for Cancer Research and Discovery

The Department of Machine Learning at Moffitt Cancer Center has been developing AI technologies for personalizing cancer care and accelerating cancer discovery. These applications utilize multiscale data from molecular testing, medical imaging, and electronic health records (multi-omics) and create an interesting but challenging application of AI. Discover how deep learning methods are used for better data representation, actuarial analysis to predict time for events, and reinforcement learning for optimizing decision making. The department has also been on the forefront of coupling quantum computing with machine learning to improve robustness. In this session, see examples of cancer research and discovery applications and hear about the successes and inherent challenges of the work.