ReviewInterface focus2016
The Human Physiome: how standards, software and innovative service infrastructures are providing the building blocks to make it achievable.
Review in Interface focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Harnessing Nonlinear Mechanics to Transform Medical Diagnostics.Applied mechanics reviews · 2025Article
- Toward a common standard for data and specimen provenance in life sciences.Learning health systems · 2024Article
- Linking cortex and contraction-Integrating models along the corticomuscular pathway.Frontiers in physiology · 2023Article
- Lightweight Distributed Provenance Model for Complex Real-world Environments.Scientific data · 2022Article
- Addressing barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology.Briefings in bioinformatics · 2022Article
- Systems Biology in ELIXIR: modelling in the spotlight.F1000Research · 2022Article
- SBML Level 3: an extensible format for the exchange and reuse of biological models.Molecular systems biology · 2020Review
- The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE).Journal of integrative bioinformatics · 2020Article
- Model annotation and discovery with the Physiome Model Repository.BMC bioinformatics · 2019Article
- Harmonizing semantic annotations for computational models in biology.Briefings in bioinformatics · 2019Review
- Assessing the Validity and Utility of the Guyton Model of Arterial Blood Pressure Control.Hypertension (Dallas, Tex. : 1979) · 2018Article
- Specifications of Standards in Systems and Synthetic Biology: Status and Developments in 2017.Journal of integrative bioinformatics · 2018Article
- Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.Biomedical engineering online · 2018Review
- Systems Medicine-Complexity Within, Simplicity Without.Journal of healthcare informatics research · 2017Article
- The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation.Journal of biomedical semantics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Reconstructing and understanding the Human Physiome virtually is a complex mathematical problem, and a highly demanding computational challenge. Mathematical models spanning from the molecular level through to whole populations of individuals must be integrated, then personalized. This requires interoperability with multiple disparate and geographically separated data sources, and myriad computational software tools. Extracting and producing knowledge from such sources, even when the databases and software are readily available, is a challenging task. Despite the difficulties, researchers must frequently perform these tasks so that available knowledge can be continually integrated into the common framework required to realize the Human Physiome. Software and infrastructures that support the communities that generate these, together with their underlying standards to format, describe and interlink the corresponding data and computer models, are pivotal to the Human Physiome being realized. They provide the foundations for integrating, exchanging and re-using data and models efficiently, and correctly, while also supporting the dissemination of growing knowledge in these forms. In this paper, we explore the standards, software tooling, repositories and infrastructures that support this work, and detail what makes them vital to realizing the Human Physiome.
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.