Evidence map›Paper›PMID 33255305›Full record

ArticleSensors (Basel, Switzerland)2020

Pre-Trained Deep Convolutional Neural Network for Clostridioides Difficile Bacteria Cytotoxicity Classification Based on Fluorescence Images.

Andrzej Brodzicki, Joanna Jaworek-Korjakowska, Pawel Kleczek, Megan Garland, Matthew Bogyo

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Deep Learning Based Classification of Dermatological Disorders.Biomedical engineering and computational biology · 2023
    Article
  3. Article
  4. Review
  5. 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

5 authors at 2 institutions in 2 countries.

Andrzej BrodzickiDepartment of Automatic Control and Robotics, AGH University of Science and Technology, 30-059 Kraków, Poland.ORCID 0000-0001-7713-526X
Joanna Jaworek-KorjakowskaDepartment of Automatic Control and Robotics, AGH University of Science and Technology, 30-059 Kraków, Poland.ORCID 0000-0003-0146-8652
Pawel KleczekDepartment of Automatic Control and Robotics, AGH University of Science and Technology, 30-059 Kraków, Poland.ORCID 0000-0002-6652-7978
Megan GarlandCancer Biology Program, Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-5622-5095
Matthew BogyoCancer Biology Program, Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-3753-4412
AGH University of Krakow · PLStanford University · US

Funding

Development of non-antibiotic therapeutics for Clostridium difficile infection (CDI)R56AI127455 · NIAID · STANFORD UNIVERSITY · PI BOGYO, MATTHEW · 2017 to 2017
$393k
Akademia Górniczo-Hutnicza im. Stanislawa Staszica 16.16.120.773NIH HHS R56 AI127455
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Clostridioides difficileNeural Networks, ComputerClostridioidesFluorescenceHumansMachine Learningclassificationclostridioides difficileconvolutional neural networksdeep neural networksfluorescence imagesimage analysistransfer learning

Identifiers

PMID33255305
PMCPMC7727696
OpenAlexW3107284836

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.