Synthetic rescue (SR) describes a genetic interaction in which the deleterious effect of a primary mutation is compensated by a second mutation, restoring cellular function or viability. In Saccharomyces cerevisiae, SR complements synthetic lethality (SL) by revealing compensatory mechanisms that maintain essential biological processes. Classical studies established SR as a fundamental principle of genetic robustness in yeast. Subsequent development of high-throughput genetic tools, including Synthetic Genetic Array (SGA), Epistatic Miniarray Profile (E-MAP), and CRISPR interference (CRISPRi), has enabled systematic identification of SR interactions across pathways of genome maintenance, proteostasis, and metabolism. Integration of these experimental datasets with computational and network-based analyses has transformed SR research from descriptive genetics into a predictive framework. Databases such as BioGRID, TheCellMap, and Mslar further support SR inference and link yeast genetic networks to human disease models. Understanding SR has important translational implications. The same compensatory logic that restores viability in yeast can explain therapeutic resistance in cancer cells. Together, these insights reveal SR as a powerful concept connecting microbial genetics with systems medicine, emphasizing that robustness and resilience are dynamic properties of living systems.