BEYOND EKG: UNVEILING THE INVISIBLE WITH CARDIOVASCULAR DIGITAL TWIN

Registration ID: IJNRD_214176

Published ID: IJNRD2402239

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Shivani S M, Haripriya S V

Electrocardiogram, Digital twin, Cardiovasular Diagnostics, Machine learning

While the electrocardiogram (EKG) has served as a workhorse for cardiovascular diagnostics, its limitations leave critical gaps in understanding individual heart health. This study presents a paradigm shift: Cardiovascular Digital Twins (C-DTs), virtual replicas fueled by patient-specific data, that illuminate previously invisible pathways to personalized medicine. We demonstrate how C-DTs transcend the confines of traditional tools, revealing unseen patterns in cardiac dynamics that empower early detection and risk stratification. Moreover, by tailoring digital twins to each individual, we unlock personalized precision, predicting unique responses to treatment and paving the way for bespoke therapeutic strategies. This dynamic approach continues to evolve with real-time data, enabling proactive intervention and improved clinical outcomes. C-DTs mark a pivotal step towards redefining cardiovascular care. By harnessing the invisible pulse, we unlock a future where personalized medicine transcends current limitations, revolutionizing the way we manage and improve heart health

Published Paper   E-Certificate

Shivani S M & Haripriya S V (February-2024). BEYOND EKG: UNVEILING THE INVISIBLE WITH CARDIOVASCULAR DIGITAL TWIN. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(2), c338-c341. https://ijnrd.org/papers/IJNRD2402239.pdf

Volume 9 Issue 2, February-2024

Pages : c338-c341

Paper Reg. ID: IJNRD_214176

Published Paper Id: IJNRD2402239

Downloads: 000122000

Research Area: Science & Technology

Author Type: Indian Author

Country: Nagercoil, Tamil nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2402239.pdf

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