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Systems Biology is an interdisciplinary field that applies mathematical and computational approaches to understand how biological systems function and evolve. It emphasizes the integration of diverse data types, such as genomic, proteomic, and metabolomic data, to construct comprehensive models of biological processes. This approach allows researchers to make predictions about system behavior and test those predictions through experimentation, ultimately leading to a deeper understanding of how biological systems have evolved over time and continue to adapt to changing environments. As a subcategory under Evolution in the Life Science branch of Science, Systems Biology provides a framework for studying the evolution of complex systems, from cells to ecosystems. It builds upon fundamental principles of biology and mathematics to provide insights into the emergent properties of biological systems and their response to both internal and external stimuli, thus bridging the gap between reductionist and holistic approaches in the life sciences.