Latest Research in Biomedical Text Mining and Ontologies

Top Research Topics in Biomedical Text Mining and Ontologies

• Biomedical Text Mining and Ontologies — 5 papers
• Computation and Language — 3 papers
• Topic Modeling — 2 papers
• Methodology — 1 papers
• Quantitative Methods — 1 papers
• Information Retrieval — 1 papers
• Computer Vision and Pattern Recognition — 1 papers
• Artificial Intelligence — 1 papers
• Metabolomics and Mass Spectrometry Studies — 1 papers
• Injury Epidemiology and Prevention — 1 papers

Highest-Cited Papers

1. Biomedical Named Entity Recognition using Transformer-Based Approaches
2. Biomedical Named Entity Recognition using Transformer-Based Approaches
3. Biomedical Text Mining and Information Extraction Using Prompt-Enhanced and LoRA-Adapted Large Language Models
4. Language-Model-Based Architecture for Automatic Concept Placement in Ontologies
5. A Spatial Fay-Herriot Model when the Auxiliary Variables are based on Non-traditional Data
6. NERFlow: A Workflow-Based Subsystem of FIT4NER for LLM-Assisted Medical Named Entity Recognition
7. Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval
8. Plausibility-Driven Prioritization of Candidate Biomedical Annotations
9. ANCHOR-RE: An Agentic Neuro-Symbolic Framework for Grounded Biomedical Relation Extraction
10. Neighborhood-Aware Dual Biomedical Entity Linking
11. Generative AI and Foundation Models in Medical Image
12. Few-Shot Biomedical Relation Extraction with Large Language Models: A Viable Alternative to Supervised Learning?
13. Unifying biomedical knowledge in a modern multimodal graph
14. CellExLink: End-to-end cell-type recognition and normalization in biomedical text
15. MetaboT: an LLM-based multi-agent framework for interactive analysis of mass spectrometry metabolomics knowledge graphs
16. Declining helmet use and emerging electric vehicle injuries among pediatric patients presenting with micromobility accidents: A single-center analysis
17. Omics Data Discovery Agents: Agent-Supported Retrieval, Reanalysis, and Synthesis of Published Omics Data
18. Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field
19. Extracting Biomedical Entities from Clinical Records: A Comparative Study of Large Language Model Approaches
20. An efficient AI-assisted approach for retrieving knowledge of polymer biodegradability from a corpus of publications