Computational models are a cornerstone of systems biology. They help in simulating and understanding complex biological systems by integrating diverse data types. In the context of histology, computational models can predict how changes at the molecular level affect tissue architecture and function. These models can also be used to simulate disease progression and the effects of potential treatments, providing valuable insights before clinical trials.
