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TruaceTracing the truth around AIWednesday, August 5, 2026
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TRV-2026-0615Certified recordPeer-reviewed

Multiomics Profiling Identifies Blood-Based Diagnostic Markers for Sepsis

Sepsis, characterized by a rapid transition to systemic immune dysregulation and multiorgan failure, poses a formidable clinical challenge. The lack of spatiotemporally stable biomarkers severely impedes early diagnosis and risk stratification. By integrating large-scale transcriptomic profiling with machine learning algorithms, this study identified a robust three-gene diagnostic signature (TLR5, HMGB2, and C19orf59). Single-cell RNA sequencing precisely localized the sepsis-induced specific upregulation of the…

Health · G Space — documented gain · certified 2026-08-01 · v1 · article view · machine-readable

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Integrating large-scale transcriptomic profiling with machine learning identified a three-gene blood signature that enables early sepsis diagnosis and risk stratification across severity levels.

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Truvace Impact Record TRV-2026-0615, v1: “Multiomics Profiling Identifies Blood-Based Diagnostic Markers for Sepsis.” Truvace, 2026-08-01. /record/TRV-2026-0615 (accessed at citation time). sha256 c6cf4b1142c533e8…

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