Virtual simulations typically involve several steps. Firstly, data from various sources such as patient records, genomic data, and imaging studies are collected. This data is then processed using machine learning and artificial intelligence techniques to build realistic models of cancer. These models can predict how cancer cells will interact with drugs, how they will grow and spread, and how they will respond to different treatment regimens.
