Evidence mapPaperPMID 40659768Full record

ReviewNature medicine2025

Reshaping transplantation with AI, emerging technologies and xenotransplantation.

Alexandre Loupy, Evgenia Preka, Xiangmei Chen, Haibo Wang, Jianxing He, Kang Zhang

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07600541 (Perceptions of Kidney Transplant Recipients Regarding the Role of Artificial Intelligence in Medicine), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07600541 recruitingnot on this mapstarted 2026, after this paper: background citation

Perceptions of Kidney Transplant Recipients Regarding the Role of Artificial Intelligence in Medicine

TypeobservationalSponsorParis Translational Research Center for Organ TransplantationRan2026 to 2026Enrolled1,000ConditionsKidney Transplant
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Future of xenotransplantation in Korea.Clinical transplantation and research · 2026
    Review
  6. Review
  7. Review
  8. Review
  9. LDLRJournal of clinical and translational hepatology · 2026
    Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. [Research progress in the field of liver failure with artificial livers in 2025].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
  15. Present and future of liver transplantation for cholangiocellular carcinoma: moving toward personalized multiparametric transplantability patterns.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alexandre Loupy *Université Paris Cité, INSERM U970 PARCC, Paris Institute for Transplantation and Organ Regeneration, Paris, France. alexandreloupy@gmail.com.
Evgenia Preka *Université Paris Cité, INSERM U970 PARCC, Paris Institute for Transplantation and Organ Regeneration, Paris, France.ORCID http://orcid.org/0000-0001-7130-0439
Xiangmei ChenDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center of Kidney Diseases, Beijing Key Laboratory of Kidney Disease, Beijing, China.
Haibo WangChina Organ Transplant Response System, Big Data of National Health Commission for Human Tissues, Organ Transplantation and Medicine, Guangzhou, China.
Jianxing HeDepartment of Thoracic Surgery and Oncology, Department of Organ Transplantation, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Centre for Respiratory Disease, Guangzhou, China.ORCID http://orcid.org/0000-0003-1737-8192
Kang ZhangState Key Laboratory for Eye Health, Eye Hospital, Wenzhou Medical University, Wenzhou, China. kang.zhang@gmail.com.ORCID http://orcid.org/0000-0002-4549-1697

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organ transplantation remains the sole definitive treatment for many forms of end-stage organ failure, yet donor organ shortages impose life-threatening delays for thousands of patients worldwide. Mechanical supports and dialysis provide only temporary respite, while lifelong immunosuppression poses additional risks-including infections, malignancies and considerable healthcare costs. Recent innovations hold promise for overcoming these barriers. Artificial intelligence tools increasingly guide organ allocation decisions by integrating clinical, demographic and immunological data. They also refine rejection monitoring, personalize immunosuppressive regimens and facilitate virtual patient simulations. Meanwhile, xenotransplantation has progressed through multi-gene editing of donor pigs and improved immunosuppressive protocols, edging closer to mitigating hyperacute rejection in kidney, heart and liver grafts. In parallel, regenerative medicine approaches-spanning stem cell therapies, three-dimensional organoids and three-dimensional bioprinting-are poised to create patient-specific tissues that reduce rejection and enhance graft longevity. Biomaterials and cell encapsulation further offer localized immunosuppression, potentially streamlining post-transplant care. Yet widespread clinical adoption requires rigorous validation, ethical frameworks and interdisciplinary collaboration. By combining artificial intelligence-guided diagnostics, innovative organ engineering and advanced immunotherapies, transplant medicine can progress toward a future in which organ scarcity is alleviated, patient outcomes are optimized and healthcare systems operate with greater efficiency.

Indexed as

Artificial IntelligenceOrgan TransplantationRegenerative MedicineTissue and Organ ProcurementTransplantation, HeterologousAnimalsComputer SimulationGraft RejectionHumansImmunosuppression TherapySwine

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.