American Society of Transplantation Symposium on B Cells in Transplantation: Harnessing Humoral Immunity from Rodent Models to Clinical Practice
Bibliographic record
Abstract
There is growing awareness that B cells and alloantibodies are important mediators of both acute and chronic allograft injury. Unfortunately, few therapies are clinically available to mitigate the function of B cells or the effects of established alloantibody. As a result, many sensitized people await transplantation without a suitable donor, and several rejection syndromes are emerging that appear to involve B cells either as antibody producers or as antigen-presenting cells. In recognition of this unmet need in transplantation, the American Society of Transplantation organized a Symposium on B cells in Organ Transplantation to foster interest in this topic amongst basic researchers attending the annual meeting of the American Association of Immunologists. This manuscript will give an overview of the presentations from this symposium including the current risks of allosensitization, adaptive accommodation, approaches toward B-cell tolerance for allo- and xenoantigens and clinical application of these concepts in ABO incompatible neonatal cardiac transplantation.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.017 | 0.008 |
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".