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How to measure impact of personalized therapies ? 


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Personalized therapies can be measured in terms of their impact by considering patient characteristics, therapeutics, and diagnostic testing to understand individual patient responses to treatment . This approach aims to improve the matching process between patients and treatments and enhance patients' understanding of the risk of serious side effects. The impact of personalized medicine depends on factors such as the number of treatments, the correlation between treatment effects, and the amount of noise in a patient's individual treatment effect signal . In the context of multiple sclerosis treatments, personalized medicine has the potential to increase the health impact of existing treatments by approximately 50% by informing patients of their individual treatment effect and risk of serious side effects . Therefore, measuring the impact of personalized therapies involves assessing the effectiveness of treatment matching and the communication of individual treatment effects and risks to patients.

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The impact of personalized therapies can be measured by assessing improvements in clinically important outcomes such as spirometry, exacerbations, and symptom scores.
The impact of personalized therapies can be measured by examining the effect of certain drugs on in vitro cell cultures and creating pharmacodynamics models.
The impact of personalized therapies can be measured by comparing the health outcomes of patients who receive personalized treatments with those who receive standard treatments.
The paper does not provide information on how to measure the impact of personalized therapies.

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