ReviewClinical and translational science2022
Progress toward a universal biomedical data translator.
Abstract readReview
In one paragraph
Review in Clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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
34 citing papers in PubMed.
- Unlocking the Power of Data Harmonization in Environmental Health Sciences: A Comprehensive Exploration of Significance, Use Cases, and Recommendations for Standardization Efforts.Environmental health perspectives · 2026Review
- MetagenomicKG: a knowledge graph for metagenomic applications.Bioinformatics (Oxford, England) · 2026Article
- The ROBOKOP v1.0 knowledge graph system for exploring relationships between biomedical entities.Scientific reports · 2026Article
- Beyond Identifier Matching: An Empirical Characterization of Failure Modes in Biomedical Knowledge Graph Integration.medRxiv : the preprint server for health sciences · 2026Article
- KGBN: Augmenting and optimizing logical gene regulatory networks using knowledge graphs.bioRxiv : the preprint server for biology · 2026Article
- Federated knowledge retrieval elevates large language model performance on biomedical benchmarks.GigaScience · 2026Article
- A Perspective on Software Intelligence for Autonomous Transformations in Biomedical Data and Knowledge.Learning health systems · 2026Article
- Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics.American journal of medical genetics. Part A · 2025Review
- PloverDB: a high-performance platform for serving biomedical knowledge graphs as standards-compliant web APIs.Bioinformatics (Oxford, England) · 2025Article
- Announcing the Biomedical Data Translator: Initial Public Release.Clinical and translational science · 2025Review
- PloverDB: A high-performance platform for serving biomedical knowledge graphs as standards-compliant web APIs.bioRxiv : the preprint server for biology · 2025Article
- Reversal gene expression assessment for drug repurposing, a case study of glioblastoma.Journal of translational medicine · 2025Article
- Editorial: A year in review: discussions in human and medical genomics.Frontiers in genetics · 2025Article
- Novel target identification towards drug repurposing based on biological activity profiles.PloS one · 2025Article
- Generating Biomedical Knowledge Graphs from Knowledge Bases, Registries, and Multiomic Data.bioRxiv : the preprint server for biology · 2024Article
- MicrobiomeKG: Bridging Microbiome Research and Host Health Through Knowledge Graphs.bioRxiv : the preprint server for biology · 2024Article
- Article
- Reversal Gene Expression Assessment for Drug Repurposing, a Case Study of Glioblastoma.Research square · 2024Article
- The transition from genomics to phenomics in personalized population health.Nature reviews. Genetics · 2024Review
- MetagenomicKG: a knowledge graph for metagenomic applications.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors.
Karamarie FechoRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-6704-9306
Anne E ThessenCenter for Health AI, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0002-2908-3327
Sergio E BaranziniWeill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, California, USA.
Chris BizonRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Jennifer J HadlockInstitute for Systems Biology, Seattle, Washington, USA.ORCID https://orcid.org/0000-0001-6103-7606
Sui HuangInstitute for Systems Biology, Seattle, Washington, USA.
Ryan T RoperInstitute for Systems Biology, Seattle, Washington, USA.
Noel SouthallDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA.
Casey TaDepartment of Biomedical Informatics, Columbia University, New York, New York, USA.
Paul B WatkinsDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Mark D WilliamsDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA.ORCID https://orcid.org/0000-0001-8020-916X
Hao XuRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
William ByrdHugh Kaul Precision Medicine Institute, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-4730-5293
Vlado DančíkChemical Biology and Therapeutics Science Program, Broad Institute, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-5970-6660
Marc P DubyMedical and Population Genetics Program, Broad Institute, Cambridge, Massachusetts, USA.
Michel DumontierInstitute of Data Science, Maastricht University, Maastricht, The Netherlands.
Gustavo GlusmanInstitute for Systems Biology, Seattle, Washington, USA.ORCID https://orcid.org/0000-0001-8060-5955
Nomi L HarrisDivision of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID https://orcid.org/0000-0001-6315-3707
Eugene W HindererTufts Clinical and Translational Science Institute, Tufts Medical Center, Boston, Massachusetts, USA.
Greg HydeThayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA.
Adam JohsDepartment of Information Science, College of Computing and Informatics, Drexel University, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7570-4326
Andrew I SuDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA.ORCID https://orcid.org/0000-0002-9859-4104
Guangrong QinInstitute for Systems Biology, Seattle, Washington, USA.
Qian ZhuDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA.
Biomedical Data Translator Consortium
Funding
University of North Carolina Clinical Center for DILINU01DK065201 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PAUL B WATKINS · 2003 to 2026
$7.3MNCATS Biomedical Data Translator ProgramZIATR000276 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI MATHÉ, EWY · 2017 to 2025
$6.3MA Common Dialect for Infrastructure and Services in TranslatorOT2TR003449 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BIZON, CHRISTOPHER, BRUSH, MATTHEW H. · 2020 to 2024
$5.6MBiomedical Data Translator Development of Autonomous Relay Agent: ARAXOT2TR003428 · NCATS · OREGON STATE UNIVERSITY · PI DEUTSCH, ERIC, KOSLICKI, DAVID · 2020 to 2024
$5.6MPathway Hypotheses Knowledge-base: A Knowledge Source for the Biomedical Data TranslatorOT2TR003436 · NCATS · DARTMOUTH COLLEGE · PI SANTOS, EUGENE · 2020 to 2024
$3.2MDOCKET: accelerating knowledge extraction from biomedical data setsOT2TR003443 · NCATS · INSTITUTE FOR SYSTEMS BIOLOGY · PI GLUSMAN, GWÊNLYN, HADLOCK, JENNIFER · 2020 to 2024
$3.1MExpanding the landscape of Translator Knowledge Providers using BioThings SDK and SmartAPIOT2TR003445 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI WU, CHUNLEI · 2020 to 2024
$2.8MTranslator Red Knowledge (TReK)OT2TR003434 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DUMONTIER, MICHEL, TA, CASEY NGHIA · 2020 to 2024
$2.3MIntramural NIH HHS ZIA TR000276National Center for Advancing Translational Sciences, Biomedical Data Translator Program I75N95021P00636National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR002514National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR002515National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR002517National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR002520National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR002584National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003422National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003427National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003428National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003430National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003433National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003434National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003435National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003436National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003437National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003441National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003443National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003445National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003448National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003449National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT2TR003450National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT3TR002019National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT3TR002020National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT3TR002025National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT3TR002026National Center for Advancing Translational Sciences, Biomedical Data Translator Program OT3TR002027National Center for Advancing Translational Sciences, Intramural Research Program ZIA TR000276-05NCATS NIH HHS OT2 TR003428NCATS NIH HHS OT2 TR003434NCATS NIH HHS OT2 TR003436NCATS NIH HHS OT2 TR003443NCATS NIH HHS OT2 TR003445NCATS NIH HHS OT2 TR003449NIDDK NIH HHS 5U01DK065201NIDDK NIH HHS U01 DK065201
Abstract
Clinical, biomedical, and translational science has reached an inflection point in the breadth and diversity of available data and the potential impact of such data to improve human health and well-being. However, the data are often siloed, disorganized, and not broadly accessible due to discipline-specific differences in terminology and representation. To address these challenges, the Biomedical Data Translator Consortium has developed and tested a pilot knowledge graph-based "Translator" system capable of integrating existing biomedical data sets and "translating" those data into insights intended to augment human reasoning and accelerate translational science. Having demonstrated feasibility of the Translator system, the Translator program has since moved into development, and the Translator Consortium has made significant progress in the research, design, and implementation of an operational system. Herein, we describe the current system's architecture, performance, and quality of results. We apply Translator to several real-world use cases developed in collaboration with subject-matter experts. Finally, we discuss the scientific and technical features of Translator and compare those features to other state-of-the-art, biomedical graph-based question-answering systems.
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What OpenQuestion holds
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LicenceCC BY-NC
Read underepoch 390
Registered trials
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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.