ArticleNature methods2021
The AIMe registry for artificial intelligence in biomedical research.
Abstract read
In one paragraph
Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
–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
32 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review.BMC medicine · 2024Pooled it
- Un-biased housekeeping gene panel selection for high-validity gene expression analysis.Scientific reports · 2022Pooled it
- Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy.European journal of nuclear medicine and molecular imaging · 2022Pooled it
- Flimma: a federated and privacy-aware tool for differential gene expression analysis.Genome biology · 2021Pooled it
- Powering responsible artificial intelligence with high-quality real-world data: the S-RACE platform for scalable, multi-specialty clinical research.NPJ digital medicine · 2026Article
- External validation and updating of NTCP models for radiation pneumonitis: QUANTEC, Appelt, and a local simplified model.Frontiers in oncology · 2026Article
- Article
- Machine learning and multi-omics in precision medicine for ME/CFS.Journal of translational medicine · 2025Review
- Prognostic modeling in head and neck cancer: deep learning or handcrafted radiomics?BJR artificial intelligence · 2025Review
- Molecular resistance mechanisms to newly approved antibiotics (2017-2025) in WHO priority pathogens.Frontiers in microbiology · 2025Review
- End-to-end reproducible AI pipelines in radiology using the cloud.Nature communications · 2024Article
- Guiding questions to avoid data leakage in biological machine learning applications.Nature methods · 2024Review
- Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions.Journal of medical Internet research · 2024Article
- Cracking the black box of deep sequence-based protein-protein interaction prediction.Briefings in bioinformatics · 2024Article
- DOME Registry: implementing community-wide recommendations for reporting supervised machine learning in biology.GigaScience · 2024Article
- Inference of differential gene regulatory networks using boosted differential trees.Bioinformatics advances · 2024Article
- The adverse outcome pathway for breast cancer: a knowledge management framework bridging biomedicine and toxicology.Discover oncology · 2023Review
- Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation.Journal of medical Internet research · 2023Article
- The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.Journal of medical Internet research · 2023Article
- spongEffects: ceRNA modules offer patient-specific insights into the miRNA regulatory landscape.Bioinformatics (Oxford, England) · 2023Article
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.
Julian MatschinskeChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Nicolas AlcarazThe Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Arriel BenisFaculty of Industrial Engineering and Technology Management, Holon Institute of Technology, Holon, Israel.ORCID http://orcid.org/0000-0002-9125-8300
Martin GolebiewskiHITS gGmbH, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-8683-7084
Dominik G GrimmTechnical University of Munich, Campus Straubing for Biotechnology and Sustainability, Bioinformatics, Straubing, Germany.ORCID http://orcid.org/0000-0003-2085-4591
Lukas HeumosInstitute of Computational Biology, Helmholtz Zentrum München, Munich, Germany.ORCID http://orcid.org/0000-0002-8937-3457
Tim KacprowskiChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-5393-2413
Olga LazarevaChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Markus ListChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-0941-4168
Zakaria LouadiChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Josch K PaulingLipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Nico PfeiferChair of Methods in Medical Informatics, Department of Computer Science, University of Tübingen, Tübingen, Germany.
Richard RöttgerDepartment of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Veit SchwämmleDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0002-9708-6722
Gregor SturmBiocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria.
Alberto TraversoDepartment of Radiation Oncology, MAASTRO Clinic, Maastricht, The Netherlands.
Kristel Van SteenBIO3-Systems Genetics, GIGA-R Medical Genomics, University of Liège, Liège, Belgium.ORCID http://orcid.org/0000-0001-9868-5033
Martiela Vaz de FreitasBioinformatics Core, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil.ORCID http://orcid.org/0000-0003-4178-6604
Gerda Cristal Villalba SilvaBioinformatics Core, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil.ORCID http://orcid.org/0000-0003-0283-7982
Leonard WeeDepartment of Radiation Oncology, MAASTRO Clinic, Maastricht, The Netherlands.ORCID http://orcid.org/0000-0003-1612-9055
Nina K WenkeChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-8031-6878
Massimiliano ZaninInstituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, Palma de Mallorca, Spain.
Olga ZolotarevaChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID http://orcid.org/0000-0002-9424-8052
Jan BaumbachChair of Computational Systems Biology, University of Hamburg, Hamburg, Germany. jan.baumbach@uni-hamburg.de.ORCID http://orcid.org/0000-0002-0282-0462
David B BlumenthalChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany. david.b.blumenthal@fau.de.ORCID http://orcid.org/0000-0001-8651-750X
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Artificial IntelligenceBiomedical ResearchRegistriesComputational BiologyResearch Design
Identifiers
PMID
34433960What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
None linked
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.