BYU ScholarsArchive
metadata only
Illuminating Hemophilia: Distinguishing Normal and Factor Deficient Plasma Clots via Brightfield Microscopy and a Convolutional Neural Network
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
- Wet and Dry Biomarkers to Predict Secondary Injury in Stroke: From Bench to Bedside - The NIMBLE Study#992996
- Hemophilia A Research Program#1151063
- Expression differences and diagnostic efficacy of core plasma biomarkers in Alzheimer's disease, cerebral small vessel disease and healthy adults.#685504
- Cerebrospinal fluid hemolysis precedes secondary brain injury after aneurysmal subarachnoid hemorrhage#1090034
- The effect of F8 missense variants on desmopressin response in people with nonsevere hemophilia A investigated using machine learning.#1080548
Record · ID 463590
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