Scaled‐up production of mammalian neural precursor cell aggregates in computer‐controlled suspension bioreactors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The clinical use of neural precursor cells (NPCs) for the treatment of neurological diseases, such as Parkinson's disease and Huntington's disease, requires overcoming the scarcity of these cells through controlled expansion. The main objective of the present study was to develop a large-scale computer-controlled bioprocess for the expansion of mammalian NPCs in suspension culture by scaling up existing reactor protocols. In order to support the oxygen demands of the maximum cell densities achieved, the volumetric mass transfer coefficient was kept above 1.10/h while scaling-up from small-scale 125 mL vessels to large-scale 500 mL bioreactors. In addition, the maximum shear stress at the impeller tip was maintained between 0.30 and 0.75 Pa to reduce damage to the cells. The resulting large-scale bioprocess achieved maximum viable cell densities of 1.2 x 10(6) cells/mL and a batch multiplication ratio of 9.1. Moreover, the process successfully maintained the NPC characteristics observed in small-scale studies.
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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 | 0.000 | 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) | 0.000 | 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 it