What are the Future Directions for Studying Dynamic Systems in Cancer?
Future research in cancer dynamics will likely focus on integrating multi-omic data (such as genomics, proteomics, and metabolomics) to create more detailed and accurate models of cancer biology. Advances in machine learning and artificial intelligence are expected to play a significant role in analyzing complex datasets and identifying patterns that are not apparent through traditional methods. Additionally, the development of patient-derived organoids and animal models will provide more relevant systems for studying cancer dynamics and testing new therapies.
