Interstitial Flow in Cancerous Tissue: Effect of Considering Remodeled Capillary Network
Bibliographic record
Abstract
Interstitial fluid flow has been studied by many cancer researchers for investigation of how interstitial flow can affect drug delivery. This paper couples blood flow through a capillary network induced by tumor angiogenesis and fluid flow in interstitium and investigates the effects of consideration of a remodeled network and adaptability of capillary on interstitial flow. Two approaches are studied for showing the remodeling effects. In the first approach, the capillary network is presumed to have capillary with constant diameter. For the second approach, the adaptable capillaries are assumed in which the metabolic and hemodynamic stimuli changes capillary's diameter based on sending signals to capillary. Numerical results show that the intravascular pressure has more uniform distribution along the network and capillary diameter has greater value in the network. The prediction of interstitial pressure for the second approach shows higher values compared to the first approach. Results from interstitial flow and blood flow distribution in normal and cancerous tissues have beneficial information about prediction of successive drug delivery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".