The Global HLA Banking of Embryonic Stem Cells Requires Further Scientific Justification
Bibliographic record
Abstract
There is a widely acknowledged shortage of and an increasing demand for transplantable human organs and tissues (e.g., kidney, heart, lung, liver, cornea) in developed and developing countries around the world.In response to this need, Lott and Savulescu (2007) propose the creation of a human embryonic stem (hESC) bank to facilitate the equitable and efficient dissemination of human leukocyte antigen (HLA) matched tissues and organs to patients in need of replacement.Although not an unreasonable proposal, the authors go on to make a much stronger claim.They argue that hESCs are such important tools for addressing the massive unmet global need for organs that it is ethically justified to require mandatory banking of spare embryos, and they argue for the use of financial (or other) inducements to procure embryos for the derivation of hESCs.To justify such a fundamental alteration of the basic ethical norms of human subjects research and tissue donation (i.e., informed choice, voluntary participation, and freedom from coercion), not to mention the allocation of significant public funds required to create a global hESC bank, there must first be clear scientific evidence demonstrating the feasibility of and likelihood that the proposed benefits (i.e., immune tailored transplantable tissues and organs) will ensue; only then can the broader ethical and political issues be debated with any clarity.It is our contention that Lott and Savulescu's (2007) proposal fails on two counts: 1) they have not proven that the problem of immune rejection of transplanted hESCs can be overcome through a global HLA-typed hESC bank; and more generally, 2) they have not substantiated the claim that hESCs will enable the production of whole organs and tissues for transplantation.To begin with, the notion that transplanted hESCs will be rejected after transplantation has yet to be scientifically substantiated.In fact, research suggests that hESCs may share
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".