The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJACI-ECAI 2022) took place from 23-29 July, in Vienna. As part of the conference there were eight fascinating invited talks. The title of her talk was "Panning for insights in medicine and beyond: New frontiers in machine learning interpretability". Mihaela began by explaining why the field of medicine is so complex. Differences between individuals, due to factors such as genetic background, environmental exposure, and life-style, lead to variations in symptoms, disease trajectories, and responses to treatments.

The virtual International Conference on Learning Representations (ICLR) was held on 26-30 April and included eight keynote talks. Courtesy of the conference organisers you can watch the talks in full and see the question and answer sessions. The aim of Mihaela's research is to contribute to the transformation of healthcare by rigorous formulation and development of diverse new tools in machine learning and AI. Her group has worked on many problems in medicine and healthcare, including risk prognosis, modelling disease trajectories, adaptive clinical trials, individualised treatment, early-warning systems in hospitals, and personalised screening. They needed to develop a variety of machine learning methods to carry out this work.