The researcher has developed a comprehensive mathematical model for studying cancer treatment efficacy, incorporating genetic variations and tumor evolution. Their approach focuses on optimizing therapeutic strategies by integrating computational modeling with clinical data, aiming to enhance personalized treatment outcomes for patients with prostate cancer and cardiovascular disease.
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