Cancer Core Europe (CCE) Lecture: A Computational Framework for Personalized Modeling of the Vascular Microenvironment to Predict Radiotherapy Outcomes in Head-&-Neck Cancer

This lecture explores the integration of clinical data with advanced biophysical models for microcirculation, presenting a framework that enables the creation of digital twins. These digital representations facilitate a bidirectional interaction between the model and the actual patient, offering a valuable tool for precision medicine.
By modeling the microvasculature of individual patients, this approach allows for detailed analysis of the microvascular environment and provides a platform for forecasting personalized radiotherapy outcomes.

Key aspects of the lecture include:

• The fundamental components of a biophysical model for microcirculation
• Methods for data collection and analysis to digitally represent patient-specific microvasculature
• Strategies for building personalized microvascular models

This framework highlights the potential of merging biophysical modeling with clinical data to advance patient-specific therapeutic strategies. 

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