Bibliographic record
Abstract
BACKGROUND: Transplantation of organs is a well-known and accepted life-saving procedure for end-stage kidney, liver, heart and lung diseases. The insufficient number of donor organs limits the application of this technique and leads to unnecessary loss of life. Experimental techniques such as xenotransplantation are extremely important to determine new methods of creating organ availability. DATA SOURCES: A literature search of Pubmed database was conducted and research articles reviewed. RESULTS: Xenotransplantation is a progressive field of research. Human complement regulatory protein (hDAF) transgenic pigs and new immunosuppressive strategies that reduce xenoreactive alphagal antibodies, have decreased rates of acute vascular rejection. Transplantation of alpha-1, 3-galactosyltransferase knock-out pig organs into baboons has resulted in the longest graft survival to date. Coagulation pathways have been identified as having a role in graft rejection. In vitro studies of porcine endogenous retroviruses (PERVs) show encouraging results that zoonosis will be less hindering to xenotransplantation than once thought. CONCLUSIONS: Several recent advances in xenotransplantation research have brought this technique closer to clinical application. The Ethics Committee of the International Xenotransplantation Association has made recommendations to ensure maintenance of ethical standards.Advancement will depend on the development of pig models, novel immunosuppressive strategies to target the innate immune system, and new ways to create donor specific tolerance. Prevention of rejection and transmission of infectious agents remain unresolved issues. In the future, it is feasible that xenotransplantation will be used to resolve this medical 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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".