I will delve into automated machine learning for risk prediction and screening, causal effect inference for understanding treatment impacts, ODE and PDE discovery from data for pharmacology, time-series forecasting for patient monitoring, and continuous time control for optimizing interventions as well as how we can use large language models in innovative ways to transform this agenda. By integrating these methods, we are not only enhancing the precision of medical care but also revolutionizing the efficiency of clinical trials. The talk will showcase real-world examples of how AI can redefine the entire healthcare landscape, providing insights into the current applications, challenges, and future directions of AI in medicine. Come discuss how AI can make these transformations in healthcare and join forces with us in this endeavour!

Virtual Zoom link to join:



This talk is part of the HDR UK Cambridge Seminar Series.

If you have a question about this talk, please contact Spencer Keene.