| Autor: |
Ponnarengan, Hariharasakthisudhan, Rajendran, Sivakumar, Khalkar, Vikas, Devarajan, Gunapriya, Kamaraj, Logesh |
| Předmět: |
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| Zdroj: |
CMES-Computer Modeling in Engineering & Sciences; 2025, Vol. 142 Issue 1, p1-48, 48p |
| Abstrakt: |
The purpose of this review is to explore the intersection of computational engineering and biomedical science, highlighting the transformative potential this convergence holds for innovation in healthcare and medical research. The review covers key topics such as computational modelling, bioinformatics, machine learning in medical diagnostics, and the integration of wearable technology for real-time health monitoring. Major findings indicate that computational models have significantly enhanced the understanding of complex biological systems, while machine learning algorithms have improved the accuracy of disease prediction and diagnosis. The synergy between bioinformatics and computational techniques has led to breakthroughs in personalized medicine, enabling more precise treatment strategies. Additionally, the integration of wearable devices with advanced computational methods has opened new avenues for continuous health monitoring and early disease detection. The review emphasizes the need for interdisciplinary collaboration to further advance this field. Future research should focus on developing more robust and scalable computational models, enhancing data integration techniques, and addressing ethical considerations related to data privacy and security. By fostering innovation at the intersection of these disciplines, the potential to revolutionize healthcare delivery and outcomes becomes increasingly attainable. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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