Gene · 57477
Papers2,355
Newest first. Swiss-Prot's references are curated; PubTator's text mining finds papers that name the gene, not always ones about it.
1 to 20 of 2,355
Download this page as JSON| Title | Journal | Year | PMID | Found by | Source |
|---|---|---|---|---|---|
| Explainable AI-based breath metabolite profiling for early lung cancer detection. | Biosens Bioelectron | 2027 | 42735557 | PubTator, text mining | PubMed |
| Identification of clinical phenotypes and development of a predictive model for rapid lung function decline in COPD patients. | Ann Med | 2026 | 42817919 | PubTator, text mining | PubMed |
| An interpretable machine learning model for early prediction of subsequent observed CRRT initiation in patients with sepsis-associated acute kidney injury. | Clin Exp Med | 2026 | 42814147 | PubTator, text mining | PubMed |
| Development of an interpretable machine learning model for predicting in-hospital mortality in ICU patients with sepsis: a retrospective cohort study. | Front Med (Lausanne) | 2026 | 42812579 | PubTator, text mining | PubMed |
| Construction and evaluation of machine learning models for postoperative prognosis prediction of biliary tract malignancies. | Front Oncol | 2026 | 42812238 | PubTator, text mining | PubMed |
| Development and validation of a machine learning model based on multi-source clinical data for predicting the risk of early neurological deterioration in patients with ischemic stroke. | Front Neurol | 2026 | 42812223 | PubTator, text mining | PubMed |
| Epidemiological trends and risk factors of early-onset colorectal cancer in the founding BRICS countries, 1990-2023, with projections to 2050. | Front Oncol | 2026 | 42812162 | PubTator, text mining | PubMed |
| Interpretable machine learning for early in-hospital mortality prediction in intensive care unit patients with acute upper gastrointestinal bleeding: Development and multicenter external validation. | Int J Med Inform | 2026 | 42810147 | PubTator, text mining | PubMed |
| Development and Temporal Validation of a Logistic Regression-Based Risk Score for Identifying Life-Threatening Chest Pain at Emergency Department Triage: A Retrospective Cohort Study. | Vasc Health Risk Manag | 2026 | 42807935 | PubTator, text mining | PubMed |
| Early prediction of moderate-to-severe BPD or death in preterm infants using minute-level respiratory monitoring and explainable machine learning. | Pediatr Res | 2026 | 42806140 | PubTator, text mining | PubMed |
| Multi-omics integration of the vaginal microbiome and inflammatory proteome for non-invasive prediction of infertility: a machine learning approach. | Front Cell Dev Biol | 2026 | 42798548 | PubTator, text mining | PubMed |
| Interpretable Machine Learning Prediction of the Dielectric Constant and Bandgap of Polymers for Flexible Electronics. | Polymers (Basel) | 2026 | 42797091 | PubTator, text mining | PubMed |
| Screening Signals of Reference-Defined Metabolic Syndrome Using HbA1c and LDL Cholesterol: An Explainable Machine Learning Study. | Diagnostics (Basel) | 2026 | 42793833 | PubTator, text mining | PubMed |
| Hematological Versus Clinical Predictors of Tumor Grade in Endometrial Cancer: A Comparative Machine Learning Study with SHAP-Based Explainability. | Diagnostics (Basel) | 2026 | 42793773 | PubTator, text mining | PubMed |
| Interpretable Machine Learning for In-Hospital Mortality Prediction in ICU Patients Using First-24-Hour Routine Vital Signs: A SHAP-Based MIMIC-IV Study. | Diagnostics (Basel) | 2026 | 42793767 | PubTator, text mining | PubMed |
| Tree-Based Machine Learning for Diagnostic Classification of Dengue Fever Using Routine Hematological Parameters: A Secondary Analysis of a Publicly Available Dataset. | Diagnostics (Basel) | 2026 | 42793751 | PubTator, text mining | PubMed |
| Explainable AI for Digital Health: Predicting Depression Risk in Older Adults Living Alone Using Machine Learning. | Healthcare (Basel) | 2026 | 42793624 | PubTator, text mining | PubMed |
| Spatiotemporal visualization and exposure-priority assessment of global soil microplastic abundance based on machine learning. | J Environ Manage | 2026 | 42790191 | PubTator, text mining | PubMed |
A cardiometabolic risk phenotype index integrating insulin resistance, systemic inflammation, and psychological burden for mortality risk stratification in metabolic dysfunction-associated steatotic liver disease: an exploratory longitudinal analysis of a nationally representative cohort. | Lipids Health Dis | 2026 | 42786494 | PubTator, text mining | PubMed |
| Joint effect of triglyceride-glucose index and low-density lipoprotein cholesterol on mortality and days alive out of hospital in acute stroke: a multi-center machine learning-based cohort study. | Diabetes Res Clin Pract | 2026 | 42785639 | PubTator, text mining | PubMed |
gene-search-2026-11-11-0.2.0
Sources 12
- ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- EMBL-EBI's patent proteinsNo added restrictions. Attribution expected
- GenBank's patent filesNo restrictions from NCBI. Submitters may hold rights
- HGNCCC0
- NCBI GenePublic domain (US government)
- NIH's project files and grant-paper linksPublic domain
- Open TargetsCC0 1.0
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
- 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
- EMBL-EBI's patent proteinsEMBL-EBI's patent protein files from the EPO, JPO, KIPO and USPTO. EMBL-EBI: "EMBL-EBI itself places no additional restrictions on the use or redistribution of the data available via its Data Resources and Tools other than those provided by the original data owners" and "EMBL-EBI expects attribution (e.g. in publications, services or products) for the use of any of its Data Resources and Tools." Read on 11 Nov 2026 at https://www.ebi.ac.uk/about/terms-of-use
- GenBank's patent filesGenBank's patent files. NCBI: "NCBI places no restrictions on the use or distribution of the GenBank data. However, some submitters may claim patent, copyright, or other intellectual property rights in all or a portion of the data they have submitted." Read on 11 Nov 2026 at https://www.ncbi.nlm.nih.gov/genbank/about/
- HGNCCC0: https://www.genenames.org/about/license/
- 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's project files and grant-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
- 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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