Evidence map›Paper›PMID 34770286›Full record

ArticleSensors (Basel, Switzerland)2021

Cloud-Based Software Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device.

Byeong-Heon Kil, Ji-Seong Park, Mun-Ho Ryu, Chan-Young Park, Yu-Seop Kim, Jong-Dae Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

6 authors.

Byeong-Heon KilSchool of Software, Hallym University, Chuncheon-si 24252, Korea.
Ji-Seong ParkBiomedux Co., Ltd., Suwon-si 16226, Korea.
Mun-Ho RyuDivision of Biomedical Engineering, Jeonbuk National University, Jeonju 54896, Korea.ORCID 0000-0002-8854-5050
Chan-Young ParkSchool of Software, Hallym University, Chuncheon-si 24252, Korea.
Yu-Seop KimSchool of Software, Hallym University, Chuncheon-si 24252, Korea.
Jong-Dae KimSchool of Software, Hallym University, Chuncheon-si 24252, Korea.

Funding

Korea Health Industry Development Institute HW20C2053
6 · The paper itself

Abstract

This paper proposes a cloud-based software architecture for fully automated point-of-care molecular diagnostic devices. The target system operates a cartridge consisting of an extraction body for DNA extraction and a PCR chip for amplification and fluorescence detection. To facilitate control and monitoring via the cloud, a socket server was employed for fundamental molecular diagnostic functions such as DNA extraction, amplification, and fluorescence detection. The user interface for experimental control and monitoring was constructed with the RESTful application programming interface, allowing access from the terminal device, edge, and cloud. Furthermore, it can also be accessed through any web-based user interface on smart computing devices such as smart phones or tablets. An emulator with the proposed software architecture was fabricated to validate successful operation.

Indexed as

Cloud ComputingPoint-of-Care SystemsComputersPathology, MolecularSoftwarecloud-basedfully automated molecular diagnostic systempoint-of-careweb-based user interface

Identifiers

PMID34770286
PMCPMC8587904

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.