Injectable purine-based sponges to promote oligodendrocyte progenitor cells' attachment and differentiation: a potential therapy to target remyelination post-spinal cord injuries
Bibliographic record
Abstract
Demyelination is one of the adverse events that persist during both the acute and chronic stages of spinal cord injury (SCI).Intact axons that survive the initial trauma but lose their myelin undergo degeneration if myelin is not re-instated.Incomplete remyelination takes place by an endogenous population of progenitor cells called Oligodendrocyte Progenitor Cells (OPCs).The consensus in the literature is that abnormal myelin is a result of the inability of I would first like to express my gratitude and appreciation to both my supervisors, Dr.Maryam Tabrizian and Dr. Guillermina Almazan for all the knowledge, guidance, mentorship and time they provided to make this thesis possible.A special thanks to Dr. Tabrizian for acting as a sounding board during discussions, for continually being available to meet, and for having confidence in me to pursue new ideas.Dr. Almazan taught me everything I had to know about oligodendrocyte biology and myelination.She also generously opened her lab for me to do all the in vitro studies using rat-derived oligodendrocyte progenitor cells (OPCs), and taught me all the necessary lab techniques needed for my experiments.I would like to thank members of my advisory committee: Dr.
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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".