Developing a Risk Prediction Model for COVID-19 Infection in Heart Transplant Recipients Using Artificial Intelligence-Reference-Cited by-同舟云学术

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Developing a Risk Prediction Model for COVID-19 Infection in Heart Transplant Recipients Using Artificial Intelligence

Published:2023-12 Issue:18 Volume:18 Page:1123-1136
ISSN:1746-0794
Container-title:Future Virology
language:en
Short-container-title:Future Virol.

Author:

Sharma Shriya¹^ORCID,Menon Nora¹^ORCID,Ruiz Jose²,Luce Caitlyn¹,Brumble Lisa³,Bhattacharya Anirban⁴,Goswami Rohan¹^ORCID

Affiliation:

1. Division of Advanced Heart Failure & Transplant, Mayo Clinic in Florida, FL, USA

2. Division of Advanced Heart Failure & Transplant, Tampa General Hospital, FL, USA

3. Division of Infectious Diseases, Mayo Clinic in Florida, FL, USA

4. Division of Critical Care, Mayo Clinic in Florida, FL, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.2217/fvl-2023-0162

Reference41 articles.

1. COVID-19 and Extracellular Vesicles: An Intriguing Interplay

2. Structure, Function, and Evolution of Coronavirus Spike Proteins

3. Corona Virus Disease-19 pandemic: The gastroenterologists’ perspective

4. Corona virus versus existence of human on the earth: A computational and biophysical approach

5. COVID-19: Molecular and Cellular Response

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1. Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive Review of the Past 5 Years;Diagnostics;2024-05-26

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