Abstract
Systems biology approaches, combined with computational modeling, have revolutionized our understanding of disease mechanisms and pathways. By integrating multi-omics data and simulating the interactions within biological systems, these approaches provide a comprehensive view of disease progression, enabling the identification of novel therapeutic targets. This article reviews recent advances in systems biology and computational modeling, focusing on their applications in understanding disease pathways and their role in the development of personalized medicine. We also discuss the challenges and future directions in applying computational models to disease biology and drug discovery.
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