Evidence map›Paper›PMID 30881691›Full record

ReviewF1000Research2019

Recent advances in biomedical simulations: a manifesto for model engineering.

Joseph L Hellerstein, Stanley Gu, Kiri Choi, Herbert M Sauro

Abstract readReview
In one paragraph

Review in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Joseph L HellersteineScience Institute, University of Washington, Seattle, WA, USA.
Stanley GuDepartment of Bioengineering, William H. Foege Building, University of Washington, Seattle, WA, Box 355061, USA.
Kiri ChoiDepartment of Bioengineering, William H. Foege Building, University of Washington, Seattle, WA, Box 355061, USA.
Herbert M SauroDepartment of Bioengineering, William H. Foege Building, University of Washington, Seattle, WA, Box 355061, USA.

Funding

TR&D3: Standards and Tools for Simulator Composition and Credibility portalP41EB023912 · NIBIB · UNIVERSITY OF WASHINGTON · PI Ion I. Moraru, HERBERT M. SAURO · 2018 to 2026
$11.4M
Analyzing the Cardiac Power Grid: Adaptive responses to fluctuating local demandU01HL122199 · NHLBI · UNIVERSITY OF WASHINGTON · PI BEARD, DANIEL A, DASH, RANJAN K · 2015 to 2019
$3.3M
Continued Development and Maintenance of the Systems Biology WorkbenchR01GM081070 · NIGMS · UNIVERSITY OF WASHINGTON · PI SAURO, HERBERT M. · 2007 to 2014
$1.7M
High Performance Simulation Libraries for Systems BiologyR01GM123032 · NIGMS · UNIVERSITY OF WASHINGTON · PI SAURO, HERBERT M. · 2017 to 2020
$1.7M
NHLBI NIH HHS U01 HL122199NIAID NIH HHS HHSN266200500026CNIBIB NIH HHS P41 EB023912NIGMS NIH HHS R01 GM081070NIGMS NIH HHS R01 GM123032
6 · The paper itself

Abstract

Biomedical simulations are widely used to understand disease, engineer cells, and model cellular processes. In this article, we explore how to improve the quality of biomedical simulations by developing simulation models using tools and practices employed in software engineering. We refer to this direction as model engineering. Not all techniques used by software engineers are directly applicable to model engineering, and so some adaptations are required. That said, we believe that simulation models can benefit from software engineering practices for requirements, design, and construction as well as from software engineering tools for version control, error checking, and testing. Here we survey current efforts to improve simulation quality and discuss promising research directions for model engineering.

Indexed as

Computer SimulationSoftware DesignBiomedical ResearchBest PracticeModelingSoftware EngineeringSystems Biology

Identifiers

PMID30881691
PMCPMC6406177

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.