Leveraging Digital Biomarkers and Advanced Data Analytics in Medical Laboratory to Enhance Early Detection and Diagnostic Accuracy in Cardiovascular Diseases

Authors

  • Akuchinyere Titus Okpanachi Department of Community & Public Health, Liberty University, Lynchburg Virginia, USA Author
  • Igba Emmanuel Department of Human Resource, Secretary to the Commission, National Broadcasting Commission Headquarters, Aso-Villa, Abuja, Nigeria Author
  • Paul Okugo Imoh School of Nursing, Anglia Ruskin University, Essex, United Kingdom Author
  • Noble Hendrix Dzakpasu Department of Public Policy and Administration, Rutgers University, Camden New Jersey, USA Author
  • Mathew Nyaledzigbor Department of Public Administration & Health Services Management, University of Ghana, Accra-Legon Ghana Author

DOI:

https://doi.org/10.32628/IJSRST251222590

Keywords:

Digital biomarkers, Cardiovascular diagnostics, Artificial intelligence, Big data analytics, Predictive modeling, Healthcare interoperability

Abstract

Cardiovascular diseases (CVDs) remain a leading cause of morbidity and mortality worldwide, necessitating innovative approaches for early detection and accurate diagnosis. This review explores the integration of digital biomarkers and advanced data analytics in medical laboratory settings to enhance the precision, efficiency, and predictive capabilities of cardiovascular diagnostics. Digital biomarkers, derived from wearable sensors, electronic health records (EHRs), and imaging technologies, provide real-time, non-invasive monitoring of physiological parameters such as heart rate variability, blood pressure trends, and biochemical markers. Coupled with advanced data analytics, including machine learning algorithms and predictive modeling, these biomarkers enable early risk stratification, automated anomaly detection, and personalized treatment strategies. The review examines the role of artificial intelligence (AI) and big data in refining diagnostic workflows, reducing false positives and negatives, and improving clinical decision-making. Additionally, it highlights challenges such as data privacy, interoperability, and regulatory compliance in implementing digital biomarker-driven diagnostics. By bridging the gap between emerging technologies and clinical practice, this study underscores the transformative potential of digital biomarkers and data-driven methodologies in revolutionizing cardiovascular disease detection and management.

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Published

24-03-2025

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Section

Research Articles

How to Cite

[1]
Akuchinyere Titus Okpanachi, Igba Emmanuel, Paul Okugo Imoh, Noble Hendrix Dzakpasu, and Mathew Nyaledzigbor , Trans., “Leveraging Digital Biomarkers and Advanced Data Analytics in Medical Laboratory to Enhance Early Detection and Diagnostic Accuracy in Cardiovascular Diseases”, Int J Sci Res Sci & Technol, vol. 12, no. 2, pp. 468–495, Mar. 2025, doi: 10.32628/IJSRST251222590.