Paper · 42162002
AI-genomics synergy for drug repurposing in breast cancer: an interpretability-driven framework.
Ahmad RM and 3 others. NPJ Genom Med, 2026. Cited by 0 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. AI-genomics synergy for drug repurposing in breast cancer: an interpretability-driven framework. Papers, record 42162002. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42162002
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- AI-genomics synergy for drug repurposing in breast cancer: an interpretability-driven framework.
- PubMed
Topics0
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Grants2
Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.
| Grant, as the record writes it | Agency | Country | NIH project | Stated by |
|---|---|---|---|---|
| Strategic Research Program (#12R111) | Zayed Bin Sultan Center for Health Sciences, United Arab Emirates University | PubMed | ||
| PhD fellowship | College of Graduate Studies, United Arab Emirates University | PubMed |
Source PubMed
Trials0
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None in this release.
Comments and corrections0
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References66
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 | 36,228,466 | A computational approach to drug repurposing using graph neural networks. | Comput Biol Med | 2022 | https://conductscience.org/library/papers/36228466 | PubMed |
| 2 | 33,015,372 | The future of digital health with federated learning. | NPJ Digit Med | 2020 | https://conductscience.org/library/papers/33015372 | PubMed |
| 3 | 31,691,815 | The reactome pathway knowledgebase. | Nucleic Acids Res | 2020 | https://conductscience.org/library/papers/31691815 | PubMed |
| 4 | 37,600,670 | HER2-Low Breast Cancer: Current Landscape and Future Prospects. | Breast Cancer (Dove Med Press) | 2023 | https://conductscience.org/library/papers/37600670 | PubMed |
| 5 | 38,612,893 | Metformin: A Dual-Role Player in Cancer Treatment and Prevention. | Int J Mol Sci | 2024 | https://conductscience.org/library/papers/38612893 | PubMed |
| 6 | 24,735,618 | TCMSP: a database of systems pharmacology for drug discovery from herbal medicines. | J Cheminform | 2014 | https://conductscience.org/library/papers/24735618 | PubMed |
| 7 | 30,508,424 | Ensuring Fairness in Machine Learning to Advance Health Equity. | Ann Intern Med | 2018 | https://conductscience.org/library/papers/30508424 | PubMed |
| 8 | 37,965,341 | Application of single-cell sequencing to the research of tumor microenvironment. | Front Immunol | 2023 | https://conductscience.org/library/papers/37965341 | PubMed |
| 9 | 34,552,244 | Biologically informed deep neural network for prostate cancer discovery. | Nature | 2021 | https://conductscience.org/library/papers/34552244 | PubMed |
| 10 | 39,215,014 | AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancer. | Nat Commun | 2024 | https://conductscience.org/library/papers/39215014 | PubMed |
1 to 10 of 66
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Drugs0
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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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