Paper Title
BEYOND EKG: UNVEILING THE INVISIBLE WITH CARDIOVASCULAR DIGITAL TWIN
Article Identifiers
Authors
Shivani S M , Haripriya S V
Keywords
Electrocardiogram, Digital twin, Cardiovasular Diagnostics, Machine learning
Abstract
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
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How To Cite (APA)
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
Issue
Volume 9 Issue 2, February-2024
Pages : c338-c341
Other Publication Details
Paper Reg. ID: IJNRD_214176
Published Paper Id: IJNRD2402239
Downloads: 000121985
Research Area: Science & Technology
Country: Nagercoil, Tamil nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2402239.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402239
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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