National Center for Toxicological Research

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合作机构同一篇文章里的其他机构

1. United States Food and Drug Administration美国2
2. University of Massachusetts Amherst美国1
3. University of Nottingham英国1
4. National Center for High-Performance Computing中国台湾1
5. Dalian University of Technology中国1
6. Central Arkansas Veterans Healthcare System美国1
7. University of Florida美国1
8. East Carolina University美国1

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最新文献

1. 1
   Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabelDrug Safety202520
2. 2
   Description and Validation of a Novel AI Tool, LabelComp, for the Identification of Adverse Event Changes in FDA LabelingDrug Safety20249
3. 3
   Composite Plot for Visualizing Aminotransferase and Bilirubin Changes in Clinical Trials of Subjects with Abnormal Baseline ValuesDrug Safety20246
4. 4
   Assessment of the Frequency, Phenotypes, and Outcomes of Acute Liver Injury Associated with Amoxicillin/Clavulanate in 1.4 Million Patients in the Veterans Health AdministrationDrug Safety202214
5. 5
   Machine learning models on chemical inhibitors of mitochondrial electron transport chainJournal of Hazardous Materials202121
6. 6
   Comprehensive in vitro and in vivo risk assessments of chitosan microparticles using human epithelial cells and Caenorhabditis elegansJournal of Hazardous Materials201731
7. 7
   Text mining for identifying topics in the literatures about adolescent substance use and depressionBMC Public Health201698

高被引文献

1. 1
   Text mining for identifying topics in the literatures about adolescent substance use and depressionBMC Public Health201698
2. 2
   Comprehensive in vitro and in vivo risk assessments of chitosan microparticles using human epithelial cells and Caenorhabditis elegansJournal of Hazardous Materials201731
3. 3
   Machine learning models on chemical inhibitors of mitochondrial electron transport chainJournal of Hazardous Materials202121
4. 4
   Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabelDrug Safety202520
5. 5
   Assessment of the Frequency, Phenotypes, and Outcomes of Acute Liver Injury Associated with Amoxicillin/Clavulanate in 1.4 Million Patients in the Veterans Health AdministrationDrug Safety202214
6. 6
   Description and Validation of a Novel AI Tool, LabelComp, for the Identification of Adverse Event Changes in FDA LabelingDrug Safety20249
7. 7
   Composite Plot for Visualizing Aminotransferase and Bilirubin Changes in Clinical Trials of Subjects with Abnormal Baseline ValuesDrug Safety20246

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