Hemodynamic Behaviour of Extremely Preterm Fetuses on Artificial Placenta Systems through Lumped Parameter Modelling
Bibliographic record
Abstract
Extremely preterm fetuses, those born at 22–28-week gestational age, suffer from very high morbidity and mortality. The artificial placenta (AP) system prolongs fetal maturation ex-utero by replacing the placenta with an oxygenator, aiming to improve survival in this patient group. In this work, a computational model of the fetus and AP system was developed to investigate the hemodynamic behaviour of the fetus, for the purpose of improving the fetus sustainability duration on the AP system. Using scaling techniques to obtain gestational-age-appropriate fetal parameters for model validation, as well as implementing physiological fetus phenomena due to experimental hypotheses, the model observed that the fetus’ hemodynamic behaviour was highly influenced by the centrifugal pump on the AP system. Based on a sensitivity analysis of the AP system parameters, the model findings suggest that the centrifugal pump pressure and RPM parameters should be adjusted for further improvement of the artificial placenta system.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".