Evidence map›Paper›PMID 35310906›Full record

ArticleCurrent opinion in systems biology2021

Multiscale modeling in disease.

Ashlee N Ford Versypt

Open access · hybridAbstract read
In one paragraph

Article in Current opinion in systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Synthetic living materials in cancer biology.Nature reviews bioengineering · 2023
    Article
  8. Mathematical Modeling Support for Lung Cancer Therapy-A Short Review.International journal of molecular sciences · 2023
    Review
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

1 author at 1 institution in 1 country.

Ashlee N Ford VersyptDepartment of Chemical and Biological Engineering and Institute for Computational and Data Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
University at Buffalo, State University of New York · US

Funding

Quantitative Systems Biomedicine and Pharmacology for Multiscale Tissue DamageR35GM133763 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Ashlee Nicole Ford Versypt · 2019 to 2026
$2.7M
NIGMS NIH HHS R35 GM133763
6 · The paper itself

Abstract

Multiscale computational modeling aims to connect the complex networks of effects at different length and/or time scales. For example, these networks often include intracellular molecular signaling, crosstalk, and other interactions between neighboring cell populations, and higher levels of emergent phenomena across different regions of tissues and among collections of tissues or organs interacting with each other in the whole body. Recent applications of multiscale modeling across intracellular, cellular, and/or tissue levels are highlighted here. These models incorporated the roles of biochemical and biomechanical modulation in processes that are implicated in the mechanisms of several diseases including fibrosis, joint and bone diseases, respiratory infectious diseases, and cancers.

Indexed as

Agent-based modelingComputational modelingExtracellular matrixFibrosisInflammationMetastasisMultiscale modelingTissue growthTissue remodeling

Identifiers

PMID35310906
PMCPMC8932948
OpenAlexW3161450531

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.