Sample pooling, in which equal volumes from multiple specimens are combined and tested together, can reduce per-sample costs and increase testing throughput while preserving clinical performance.

The COVID-19 pandemic forced a number of changes, many of which will remain in place long after it subsides. One important but under-recognized shift could be in the field of clinical diagnostics.

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...