Exploring bias risks in artificial intelligence and targeted medicines manufacturing.

ABSTRACT:

Background

Though artificial intelligence holds great value for healthcare, it may also amplify health inequalities through risks of bias. In this paper, we explore bias risks in targeted medicines manufacturing. Targeted medicines manufacturing refers to the act of making medicines targeted to individual patients or to subpopulations of patients within a general group, which can be achieved, for example, by means of cell and gene therapies. These manufacturing processes are increasingly reliant on digitalised systems which can be controlled by artificial intelligence algorithms. Whether and how bias might turn up in the process, however, is uncertain due to the novelty of the development.

Methods

Examining stakeholder views across bioethics, precision medicine, and artifici

SUBMITTER: Nwebonyi N 

PROVIDER: S-EPMC11483979 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature