
This article delves into the increasing utilization of large datasets derived from peripheral blood, coupled with machine learning, in advancing the comprehension, prediction, and management of pulmonary and critical care conditions. It aims to provide readers with an introduction to the methodologies and applications of blood omics and multiplex-based technologies in pulmonary and critical care medicine.
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