Repisalud
metadata only
Acute Lung Injury Biomarkers in the Prediction of COVID-19 Severity: Total Thiol, Ferritin and Lactate Dehydrogenase
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Biomarkers to Predict Acute Respiratory Distress Syndrome(ARDS) in Patients With Sepsis#332843
- Transcriptomic Profiling in Severely Injured Patients#1087957
- Endothelial Function, Inflammation and Organ Dysfunction in COVID-19#884885
- Urinary metabolomics reveals potential biomarkers for monitoring carbon black exposure-related airway injury.#358239
- Immune Biomarker Profiling Across Clinical States and Development of a SOFA-Integrated Model for 28-Day Mortality Prediction in Sepsis: A Prospective Cohort Study.#662672
Record · ID 646696
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive