There are moral, scientific and economic reasons for having a more inclusive patient demographic represented in precision medicine.
Precision medicine promises to provide better matches between treatments and groups of patients who have a disease and who show a set of specific traits. Better matches help ensure that a drug would be given to those who would benefit most and not be given to those who would either not be helped or would be harmed by it. A lot of attention in precision medicine focuses on powerful machine learning algorithms that can identify new sub-populations of patient groups. However, the results depend on the input data. The input data is defined by which patients are included. Deciding which patients to include in an analysis raises important ethical issues about who is and is not being best served by innovations in the field.
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