DEVELOPMENT OF A BLOOD ANALOG FOR THE HEMODYNAMIC EFFICIENCY EVALUATION OF CARDIOVASCULAR DEVICES
Bibliographic record
Abstract
Accurate simulation of blood hemolytic potential (i.e. the destruction of red blood cells) would be a valuable tool to evaluate blood-interacting devices. Indeed, such a model would alleviate several practical problems with manipulating real blood (addition of anticoagulants and antibiotics, filtration, etc.). In the present study, we have developed a blood analog which is a suspension of micron-sized natural polymeric gel particles, each encapsulating a dye agent. These particles release the dye agent through shear-induced diffusion and fragmentation from exposure to high, non-physiological shear rates. A controlled shear field was applied to blood analog samples using a custom-made grooved parallel plate geometry device as previously reported in the literature. The device was designed to apply a shear stress and shear exposure duration in the range of 0.15 – 269.18 Pa and 156 - 1297 ms, respectively. From the results obtained, a correlation between the human index of hemolysis and the concentration of the released dye agent can be found. Therefore, the use of the proposed suspensions appears suitable as a blood analog for the in vitro evaluation of the destructive effects of cardiovascular devices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".