The quest for personalized medicine, a medical approach in which practitioners use a patient’s unique genetic profile to tailor individual treatment, has emerged as a critical goal in the health care sector. But a new Yale-led study shows that the mathematical models currently available to predict treatments have limited effectiveness.
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