Modelling Clinical Outcomes
We develop and validate data-driven models that connect clinical, imaging, biological, and treatment-related variables with oncology outcomes.



Oncology data science, radiobiology, quantitative imaging, and in-silico modelling at the National Cancer Institute of Milan.
We are based at the National Cancer Institute of Milan, Fondazione IRCCS Istituto Nazionale dei Tumori, in the Data Science Unit.
CMON Lab includes physicists, engineers, mathematicians, statisticians, and research assistants working in oncology studies for modelling clinical outcomes.
The main research focus is radiobiology, with a strong interest in quantitative imaging and biological characteristics describing mechanisms involved in treatment reactions. Proof of mechanisms is also tested through in-silico simulations.
We develop and validate data-driven models that connect clinical, imaging, biological, and treatment-related variables with oncology outcomes.
We study imaging-derived parameters that can describe measurable, interpretable features associated with treatment response and toxicity.
We use computational simulations to test mechanisms and support hypotheses emerging from clinical and translational data.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.

