Computational models are crucial for several reasons. First, they allow researchers to perform virtual experiments that would be impossible or unethical to conduct in real life. Second, they can help in the rapid screening of potential drug candidates, saving both time and resources. Third, these models can offer personalized treatment plans based on individual patient data, improving the efficacy of treatments.