ReviewBriefings in bioinformatics2021
Recent advances in biomedical literature mining.
Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
49 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research.BMC medical research methodology · 2024Pooled it
- Natural language processing in clinical neuroscience and psychiatry: A review.Frontiers in psychiatry · 2022Pooled it
- Structured Schemas for Provenance-Rich, LLM-Assisted QSP Model Calibration.CPT: pharmacometrics & systems pharmacology · 2026Article
- Dual channel drug-drug interactions extraction based on cross attention.BMC bioinformatics · 2026Article
- Structured Schemas for Provenance-Rich, LLM-Assisted QSP Model Calibration.bioRxiv : the preprint server for biology · 2026Article
- Quantifying Evidence for Competing Biomedical Hypotheses using Large Language Models and Bayesian Analysis.bioRxiv : the preprint server for biology · 2026Article
- Multimodal Collaborative Modeling of Molecular Structures and Biomedical Text for Accurate Drug-Drug Interaction Extraction.Biomedicines · 2026Article
- MTB-ImmunogenKG: An LLM-assisted knowledge graph for antigen selection in tuberculosis vaccine research.Biosafety and health · 2026Article
- Auditing frontier general-purpose large language models in biomedical tasks: reasoning gains, extraction limits, and benchmark reliability.Research square · 2026Article
- TheraMind: a multi-LLM ensemble for accelerating drug repurposing in lung cancer via case report mining.NPJ precision oncology · 2026Article
- Integrating curation into scientific publishing to train AI models.Bioinformatics (Oxford, England) · 2026Article
- Automated biomedical hypothesis generation with time-aware hypergraph contrastive learning.Knowledge and information systems · 2026Article
- A FAIR gold-standard benchmark for geographic entity recognition in cancer genomics literature for biomedical NLP.Bioinformatics advances · 2026Article
- Fine-tuned GPT-based foundation models effectively reconstruct bacterial transcriptional regulatory networks from literature.Frontiers in artificial intelligence · 2026Article
- A strategic approach to multi-omics literature retrieval in next generation mammalian cell bioprocessing.NPJ systems biology and applications · 2025Review
- ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation.Bioinformatics (Oxford, England) · 2025Article
- Drug and Clinical Candidate Drug Data in ChEMBL.Journal of medicinal chemistry · 2025Review
- Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.Scientific reports · 2025Article
- DiMB-RE: mining the scientific literature for diet-microbiome associations.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches.Proteomics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The recent years have witnessed a rapid increase in the number of scientific articles in biomedical domain. These literature are mostly available and readily accessible in electronic format. The domain knowledge hidden in them is critical for biomedical research and applications, which makes biomedical literature mining (BLM) techniques highly demanding. Numerous efforts have been made on this topic from both biomedical informatics (BMI) and computer science (CS) communities. The BMI community focuses more on the concrete application problems and thus prefer more interpretable and descriptive methods, while the CS community chases more on superior performance and generalization ability, thus more sophisticated and universal models are developed. The goal of this paper is to provide a review of the recent advances in BLM from both communities and inspire new research directions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.