Explore the intersection of machine learning, data science, and medicine in this 46-minute talk by Professor Mihaela van der Schaar at the Alan Turing Institute. Dive into the development of AutoPrognosis, an innovative automated system for creating tailored machine learning pipelines in medical settings. Learn how this approach addresses challenges in medical data analysis, including missing data imputation, feature selection, and classifier choice. Discover how AutoPrognosis outperforms existing clinical, statistical, and machine learning methods across various medical datasets. Gain insights into the potential of AI-driven prognostic modeling to revolutionize personalized medicine and improve patient outcomes.