Evidence map›Paper›PMID 33072731›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Kinetic Analysis of Label-Free Microscale Collagen Gel Contraction Using Machine Learning-Aided Image Analysis.

Cameron Yamanishi, Eric Parigoris, Shuichi Takayama

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Machine learning boosts three-dimensional bioprinting.International journal of bioprinting · 2023
    Review
  5. Article
  6. Review
  7. Contracting scars from fibrin drops.Integrative biology : quantitative biosciences from nano to macro · 2022
    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

3 authors.

Cameron YamanishiWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States.
Eric ParigorisWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States.
Shuichi TakayamaWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States.

Funding

Microfluidic Tissue Engineering of Small Airway InjuriesR01HL136141 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI GROTBERG, JAMES BERNARD, NEMZEK, JEAN A · 2017 to 2020
$2.9M
Cellular Biotechnology Training Program (CBTP) - Years 31-35T32GM145304 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Guizhi Zhu · 2022 to 2026
$2.6M
3D High Throughput Model to Predict Drug Efficacy in Fibrosis Progression vs ReversalR21AG061687 · NIA · GEORGIA INSTITUTE OF TECHNOLOGY · PI HECKER, LOUISE, TAKAYAMA, SHUICHI · 2019 to 2020
$445k
NHLBI NIH HHS R01 HL136141NIA NIH HHS R21 AG061687NIGMS NIH HHS T32 GM145304
6 · The paper itself

Abstract

Pulmonary fibrosis is a deadly lung disease, wherein normal lung tissue is progressively replaced with fibrotic scar tissue. An aspect of this process can be recreated

Indexed as

aqueous two-phase systemscollagen contractionfibroblastsmachine learningphenotypic assaypulmonary fibrosis

Identifiers

PMID33072731
PMCPMC7537788

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.