Evidence map›Paper›PMID 35594019›Full record

ArticleAdvances in experimental medicine and biology2022

Detection and Prevention of Virus Infection.

Ying Wang, Bairong Shen

Abstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Ying WangDepartment of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, China.
Bairong ShenInstitutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China. bairong.shen@scu.edu.cn.
Eastern Hepatobiliary Surgery Hospital · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathogenic mechanism of viral infection is a complex process involving viral mutation, viral integration, and various aspects of the interaction between the viral genome and the host. Moreover, the virus mutation will lead to the failure of related vaccines, leading to the increasing of vaccine development costs and difficulties in virus prevention. With the accumulation of various types of data, using bioinformatics methods to mine the potential viral characteristics of the pathogenic process can help virus detection and diagnosis, to take intervention measures to prevent disease development or develop effective antiviral therapies. In this chapter, we first outlined traditional approaches and emerging technologies of virus detection and prevention, and then summarized the latest developments in the bioinformatics methods application in different fields of virus researches. The emergence of artificial intelligence provides advanced analysis techniques for revealing key factors of virus infection and has been widely used in the virology community. In particular, we highlight machine learning and deep learning algorithms to identify factors/categories from complex multidimensional data and uncover novel patterns of virus or disease risk prediction.

Indexed as

Virus DiseasesVirusesArtificial IntelligenceComputational BiologyDNA VirusesHumansMachine LearningDiagnosisInformaticsMachine learningPreventionVirus infection

Identifiers

PMID35594019
OpenAlexW4285216740

What Socratic holds

Textmetadata
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 Socratic graph.