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Clinical Markers and Diagnostics for Diagnosing Cerebral Infarction
Thangavel Lakshmipriya1, Subash C B Gopinath2,3
1Center for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai 602105, Tamil Nadu, India.
Cerebral infarction, or stroke, occurs when blood flow to the brain is blocked. This review explores new biomarkers and biosensor diagnostic systems for detecting brain infarction, moving beyond traditional imaging methods.
Area of Science:
- Neurology
- Biomedical Engineering
- Medical Diagnostics
Background:
- Cerebral infarction, characterized by restricted blood supply to the brain due to vessel occlusion, is a critical neurological condition.
- Current diagnostic methods primarily rely on advanced imaging techniques like computed tomography (CT) and magnetic resonance imaging (MRI).
- There is a growing need for innovative, non-invasive monitoring tools for neurological disorders, including stroke.
Purpose of the Study:
- To review recent advancements in biomarkers for cerebral infarction.
- To discuss emerging biosensor technologies for the diagnosis of brain infarction.
- To explore the potential of non-invasive external brain monitoring for stroke detection.
Main Methods:
- Literature review of recent research on cerebral infarction biomarkers.
- Analysis of current and emerging biosensor technologies for neurological monitoring.
- Discussion of diagnostic systems utilizing biosensors for brain infarction.
Main Results:
- Identification of novel biomarkers associated with cerebral infarction.
- Overview of various biosensor types and their applications in neurology.
- Exploration of the integration of biosensors into diagnostic systems for stroke.
Conclusions:
- Biosensors represent a promising avenue for non-invasive detection and diagnosis of cerebral infarction.
- Advancements in biomarkers and biosensor technology are crucial for improving stroke management.
- Future research should focus on the clinical translation and validation of these novel diagnostic approaches.
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