The DOI matches its Crossref record; 170 of the 170 references it cites were found in a registry or an index.
Biomarkers: Promising and valuable tools towards diagnosis, prognosis and treatment of Covid-19 and other diseases
Open accessAbstract
The use of biomarkers as early warning systems in the evaluation of disease risk has increased markedly in the last decade. Biomarkers are indicators of typical biological processes, pathogenic processes, or pharmacological reactions to therapy. The application and identification of biomarkers in the medical and clinical fields have an enormous impact on society. In this review, we discuss the history, various definitions, classifications, characteristics, and discovery of biomarkers. Furthermore, the potential application of biomarkers in the diagnosis, prognosis, and treatment of various diseases over the last decade are reviewed. The present review aims to inspire readers to explore new avenues in biomarker research and development.
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Cited by
The Integration of Artificial Intelligence into Clinical Practice
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Metadata
- Authors
- Bodaghi, A., Fattahi, N., & Ramazani, A.
- Venue
- Heliyon
- Publisher
- Elsevier BV
- Published
- 2023-02
- Volume
- 9
- Issue
- 2
- Pages
- e13323
- ISSN
- 2405-8440 (ISSN-L)
- OpenAlex
- W4318473522
- Cited by
- 336
- References
- 170
- FWCI
- 29.46
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- gold
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- CoChat. (2026). Citation check: Biomarkers: Promising and valuable tools towards diagnosis, prognosis and treatment of Covid-19 and other diseases. https://app.cochat.ai/papers/10.1016/j.heliyon.2023.e13323
- The paper
- Bodaghi, A., Fattahi, N., & Ramazani, A. (2023). Biomarkers: Promising and valuable tools towards diagnosis, prognosis and treatment of Covid-19 and other diseases. Heliyon. https://doi.org/10.1016/j.heliyon.2023.e13323
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
