Aneta Lisowska, Floris den Hengst, Syed Ihtesham Shah and Annette ten Teije receive the Best Paper Award at the 24th International Conference on Artificial Intelligence in Medicine (AIME 2026), held in Ottawa, Canada, for their paper, "Addressing Incomplete Data in Survival and Quality of Life Prediction: A Pancreatic Cancer Case Study."
Abstract: Models that predict the survival and quality of life (QoL) in patients with malignancies can support prognostic counselling and patient-centered evaluation of disease trajectories. Challenges in the development of such models include incomplete data in real-world registries, including missing baseline measurements and irregular, sparse availability of longitudinal QoL outcomes during treatment. These limitations complicate the incorporation of QoL into survival prediction and the reliable modeling of QoL over time. We address these limitations with a novel framework to predict survival and quality of life in the face of sparse data.
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