Researchers use math to develop personalized chemo treatments
from Lab Manager
Associate professor of statistics Jinfeng Zhang, his former graduate student Kaixian Yu, and professor of chemistry and biochemistry Qing-Xiang “Amy” Sang have developed statistical models that rank chemotherapy treatment options for patients based on the gene expression profile of the tumor. Their rankings take into account not only effectiveness at beating back the cancer, but also how sick a given drug could make the patient.
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