Paper · 42921155
Autonomous AI research agents in pancreatic ductal adenocarcinoma immunology: from multimodal evidence to experimental validation.
Li Y and 4 others. Front Immunol, 2026.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. Autonomous AI research agents in pancreatic ductal adenocarcinoma immunology: from multimodal evidence to experimental validation. Papers, record 42921155. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42921155
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Autonomous AI research agents in pancreatic ductal adenocarcinoma immunology: from multimodal evidence to experimental validation.
- Journal
- Front Immunol
- Year
- 2026
- Publication types
- Journal Article, Review
- Revised in PubMed
- 2026-10-26
Source PubMed
Topics7
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Carcinoma, Pancreatic Ductal | Major topic |
| Pancreatic Neoplasms | Major topic |
| Artificial Intelligence | Major topic |
| Humans | |
| Animals | |
| Tumor Microenvironment | |
| Biomarkers, Tumor |
Source PubMed
Grants0
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None in this release.
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections0
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
None in this release.
References76
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 | 39,227,743 | Spatially resolved analysis of pancreatic cancer identifies therapy-associated remodeling of the tumor microenvironment. | Nat Genet | 2024 | https://conductscience.org/library/papers/39227743 | PubMed |
| 2 | 30,366,930 | IL1-Induced JAK/STAT Signaling Is Antagonized by TGFβ to Shape CAF Heterogeneity in Pancreatic Ductal Adenocarcinoma. | Cancer Discov | 2019 | https://conductscience.org/library/papers/30366930 | PubMed |
| 3 | 38,935,717 | Type I conventional dendritic cells facilitate immunotherapy in pancreatic cancer. | Science | 2024 | https://conductscience.org/library/papers/38935717 | PubMed |
| 4 | 38,626,948 | TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. | BMJ | 2024 | https://conductscience.org/library/papers/38626948 | PubMed |
| 5 | 32,711,842 | MHCflurry 2.0: Improved Pan-Allele Prediction of MHC Class I-Presented Peptides by Incorporating Antigen Processing. | Cell Syst | 2020 | https://conductscience.org/library/papers/32711842 | PubMed |
| 6 | 33,015,372 | The future of digital health with federated learning. | NPJ Digit Med | 2020 | https://conductscience.org/library/papers/33015372 | PubMed |
| 7 | 34,297,917 | Single-cell analysis defines a pancreatic fibroblast lineage that supports anti-tumor immunity. | Cancer Cell | 2021 | https://conductscience.org/library/papers/34297917 | PubMed |
| 8 | 31,842,878 | Calibration: the Achilles heel of predictive analytics. | BMC Med | 2019 | https://conductscience.org/library/papers/31842878 | PubMed |
| 9 | 31,932,730 | Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas. | Nat Biotechnol | 2020 | https://conductscience.org/library/papers/31932730 | PubMed |
| 10 | 39,909,534 | FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare. | BMJ | 2025 | https://conductscience.org/library/papers/39909534 | PubMed |
1 to 10 of 76
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Genes0
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None in this release.
Drugs0
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None in this release.
Data0
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None in this release.
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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