Evidence map›Paper›PMID 25445734›Full record

ReviewMathematical biosciences2015

The inverse problem in mathematical biology.

Gilles Clermont, Sven Zenker

Abstract readReview
In one paragraph

Review in Mathematical biosciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Bespoke Turing Systems.Bulletin of mathematical biology · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A dynamic model of lignin biosynthesis inBiotechnology for biofuels · 2018
    Article
  14. The best models of metabolism.Wiley interdisciplinary reviews. Systems biology and medicine · 2017
    Review
  15. Article
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

2 authors.

Gilles ClermontCrisma Center, Departments of Critical Care Medicine, Mathematics, and Chemical Engineering, University of Pittsburgh, 200 Lothrop St, Pittsburgh, PA 16123, USA. Electronic address: clermontg@upmc.edu.
Sven ZenkerDepartment of Anesthesiology and Intensive Care Medicine, University of Bonn Medical Center, Sigmund-Freud-Str. 25, Bonn, 53105, Germany. Electronic address: cler@pitt.edu.

Funding

Modeling the acute inflammatory responseR01GM067240 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CLERMONT, GILLES · 2002 to 2005
$1.3M
Quantitative, Model-based Medical Decision support by Bayesian InferenceR21LM009936 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CLERMONT, GILLES · 2009 to 2010
$412k
NIGMS NIH HHS R01 GM067240NLM NIH HHS R21 LM009936
6 · The paper itself

Abstract

Biological systems present particular challengers to model for the purposes of formulating predictions of generating biological insight. These systems are typically multi-scale, complex, and empirical observations are often sparse and subject to variability and uncertainty. This manuscript will review some of these specific challenges and introduce current methods used by modelers to construct meaningful solutions, in the context of preserving biological relevance. Opportunities to expand these methods are also discussed.

Indexed as

Models, BiologicalModels, TheoreticalHumansBiological systemsEnsemble modelsInverse problemParameter estimation

Identifiers

PMID25445734
PMCPMC6657349

What OpenQuestion holds

Textmetadata
LicenceTDM
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.