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In the chaotic and rapidly expanding field of “personalized medicine,” dozens of companies aim to create tests that read a disease's biochemical tea leaves and anticipate the course it will take. The predictions, which often rely on gene expression patterns, can have a momentous effect, for example, prompting doctors and patients to eschew chemotherapy when a test suggests that a breast cancer has a low risk of recurring.
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Jennifer Couzin (2007) studied this question.
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