Elina Syrri

Interpretable Forecasting of Kidney Cancer Progression via Generative AI and Symbolic Reasoning

Predicting cancer stage progression from omics data, and deriving molecular insight into the mechanisms driving it, remains a major challenge, owing in part to the lack of adequate longitudinal data and the interpretability limitations of current forecasting models. Large cancer datasets such as TCGA capture patient pr...