Paper · 42979433
Beyond generalist AI: purpose-built foundation models for transplantation.
Jbara L and 8 others. Front Med (Lausanne), 2026.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. Beyond generalist AI: purpose-built foundation models for transplantation. Papers, record 42979433. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42979433
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Beyond generalist AI: purpose-built foundation models for transplantation.
- Journal
- Front Med (Lausanne)
- Year
- 2026
- Publication types
- Journal Article
- Revised in PubMed
- 2026-11-05
Source PubMed
Topics0
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Comments and corrections0
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References53
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
| Order | PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|---|
| 1 | 38,032,300 | The Banff 2022 Kidney Meeting Report: Reappraisal of microvascular inflammation and the role of biopsy-based transcript diagnostics. | Am J Transplant | 2024 | https://conductscience.org/library/papers/38032300 | PubMed |
| 2 | 38,504,017 | A visual-language foundation model for computational pathology. | Nat Med | 2024 | https://conductscience.org/library/papers/38504017 | PubMed |
| 3 | 38,965,432 | Evaluation and mitigation of the limitations of large language models in clinical decision-making. | Nat Med | 2024 | https://conductscience.org/library/papers/38965432 | PubMed |
| 4 | 41,343,765 | Clinical Large Language Model Evaluation by Expert Review (CLEVER): Framework Development and Validation. | JMIR AI | 2025 | https://conductscience.org/library/papers/41343765 | PubMed |
| 5 | 41,986,551 | Specialized foundation models for intelligent operating rooms. | NPJ Digit Med | 2026 | https://conductscience.org/library/papers/41986551 | PubMed |
| 6 | 37,949,413 | Abdominal computed tomography measurements of body composition and waitlist mortality in kidney transplant candidates. | Am J Transplant | 2024 | https://conductscience.org/library/papers/37949413 | PubMed |
| 7 | 34,974,452 | The Impact of Donor and Recipient Genetic Variation on Outcomes After Solid Organ Transplantation: A Scoping Review and Future Perspectives. | Transplantation | 2022 | https://conductscience.org/library/papers/34974452 | PubMed |
| 8 | 41,951,492 | A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort study. | Lancet Digit Health | 2026 | https://conductscience.org/library/papers/41951492 | PubMed |
| 9 | 39,779,926 | Toward expert-level medical question answering with large language models. | Nat Med | 2025 | https://conductscience.org/library/papers/39779926 | PubMed |
| 10 | 38,869,975 | Comprehensive deep learning-based assessment of living liver donor CT angiography: from vascular segmentation to volumetric analysis. | Int J Surg | 2024 | https://conductscience.org/library/papers/38869975 | PubMed |
1 to 10 of 53
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Data0
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Data dates
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- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
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