Mathematical modeling translates biological systems into equations, simulating how cells, genes, or populations behave over time. Researchers use these dynamic models to test hypotheses, predict responses to drugs, or decode complex pathways, reducing costly lab experiments. Systems biologists, pharmacologists, and bioengineers rely on this approach to design therapies, optimize metabolic pathways, and personalize medicine. It bridges dry computation with wet-lab reality, accelerating discovery in fields from oncology to ecology.
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