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The APS Consortium establishes a large, prospective cohort of critically ill adults with ARDS, pneumonia, and sepsis to enable biologically based phenotyping, leveraging rich clinical data and biospecimens for improved understanding and the
Latent class analysis of 889 adult PAH-CHD patients identified unique phenogroups with distinct survival outcomes and treatment responses, offering refined risk stratification and guiding personalized therapy.
Unsupervised machine learning identified three distinct preeclampsia phenotypes linked to timing of delivery, placental dysfunction, fetal growth, and complications, suggesting a path toward more personalized risk assessment and management.