Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.

Recent advances in next‐generation sequencing (NGS) such as targeted or non-targeted whole-genome sequencing (WGS) and computational analyses that can efficiently process large amounts of data have ...