ReviewJournal of translational medicine2010
Biomedical informatics and translational medicine.
Review in Journal of translational medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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
37 citing papers in PubMed.
- Crohn's disease shared decision making intervention leads to more patients choosing combination therapy: a cluster randomised controlled trial.Alimentary pharmacology & therapeutics · 2023Trial
- Considerations and Challenges When Using Clinical and Vital Record Review for Suicide Research.Journal of patient safety · 2025Article
- Review
- Applications of transformer-based language models in bioinformatics: a survey.Bioinformatics advances · 2023Review
- Identification of Hub Genes in the Pathogenesis of Ischemic Stroke Based on Bioinformatics Analysis.Journal of Korean Neurosurgical Society · 2022Article
- Outlining Big Data Analytics in Health Sector with Special Reference to Covid-19.Wireless personal communications · 2022Article
- Impulsive and Omission Errors: Potential Temporal Processing Endophenotypes in ADHD.Brain sciences · 2021Article
- Article
- Translational health technology and system schemes: enhancing the dynamics of health informatics.Health information science and systems · 2020Article
- Modernizing the Methods and Analytics Curricula for Health Science Doctoral Programs.Frontiers in public health · 2020Article
- Using Electronic Health Records To Generate Phenotypes For Research.Current protocols in human genetics · 2019Article
- Development of an informatics system for accelerating biomedical research.F1000Research · 2019Article
- An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning.The Journal of allergy and clinical immunology · 2018Article
- General guidelines for biomedical software development.F1000Research · 2017Review
- Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision.Yearbook of medical informatics · 2016Review
- The great ESCAPE - a clinical pharmacologist's journey in stroke research.British journal of clinical pharmacology · 2016Review
- Clinical decision-making and secondary findings in systems medicine.BMC medical ethics · 2016Article
- Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.BMC medical informatics and decision making · 2015Article
- Biopotency Assays: an Integrated Application to Quality Control of Chinese Materia Medica.Chinese herbal medicines · 2014Review
- On determining factors for good research in biomedical and health informatics. Some lessons learned.Yearbook of medical informatics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Biomedical informatics involves a core set of methodologies that can provide a foundation for crossing the "translational barriers" associated with translational medicine. To this end, the fundamental aspects of biomedical informatics (e.g., bioinformatics, imaging informatics, clinical informatics, and public health informatics) may be essential in helping improve the ability to bring basic research findings to the bedside, evaluate the efficacy of interventions across communities, and enable the assessment of the eventual impact of translational medicine innovations on health policies. Here, a brief description is provided for a selection of key biomedical informatics topics (Decision Support, Natural Language Processing, Standards, Information Retrieval, and Electronic Health Records) and their relevance to translational medicine. Based on contributions and advancements in each of these topic areas, the article proposes that biomedical informatics practitioners ("biomedical informaticians") can be essential members of translational medicine teams.
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.