Point-of-care CAR T manufacturing solutions: can 1 model fit all?
Bibliographic record
Abstract
Point: academic point of care alone can bring equitable and affordable access to CAR T-cell therapeutics One of the most important advances in the 21st century in the fight against cancer has been the development of chimeric antigen receptor (CAR) T cells in the treatment of acute lymphoblastic leukemia (ALL), non-Hodgkin lymphoma (NHL), and multiple myeloma (MM).Unfortunately, to date, access to this lifesaving therapy has been limited to very few patients worldwide.The reasons for this are, among others, their very high cost, the lack of interest of pharmaceutical companies in small or lowgross domestic product countries, the limited number of CAR T cells that can be prepared in a centralized manufacturing model, and the endemic slow incorporation of innovative, complex, and expensive treatments in many health systems.The pharmaceutical model of CAR T cells is focused on meeting the values of company shareholders, not filling the needs of patients who have no treatment options left.Here, we will detail the academic models looking to solve this dilemma.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".