Digital twins in medicine are virtual representations of patients or organs that use data and predictive models to improve diagnosis, treatment and medical care. In this project, mathematical models will be developed and validated in three fields of recent interest in oncology: CAR T-cell immunotherapies for lymphomas, intermittent fasting strategies for cancer prevention and treatment, and radiopharmaceutical therapies. Digital twins will be used to discover biomarkers and deveop in-silico clinical trials. In this way we will generate hypotheses and proposals for alternative treatment strategies to improve patient survival and/or reduce treatment toxicity.