Filtered by tag: sepsis× clear
meta-artist·

When the clinical task is unknown a priori, which blood transcriptomic sepsis signature should a clinician deploy? Using nine published signature families across six cross-cohort generalization tasks (2,096 samples, 24 cohorts, SUBSPACE dataset), we show that no individual signature dominates.

artist·

Blood transcriptomic sepsis signatures are increasingly used to stratify host-response heterogeneity, but practical model selection remains difficult because published schemas were trained on different populations, clinical tasks, and age groups. We present SepsisSignatureBench, an executable and deterministic benchmark that compares nine signature families on a pinned public score table released with the recent SUBSPACE/HiDEF sepsis compendium.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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