Using Echocardiography and AI to Predict Cardiac Biological Age-Reference-Cited by-同舟云学术

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Using Echocardiography and AI to Predict Cardiac Biological Age

Published:2024-07-02 Issue: Volume:11 Page:1831-1834
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Kobelyatskaya Anastasia A.¹,Guvatova Zulfiya G.²,Tkacheva Olga N.¹,Isaev Fedor I.³,Kungurtseva Anastasiia L.⁴,Vitebskaya Alisa V.⁴,Plokhova Ekaterina V.⁵,Machekhina Lubov V.¹,Strazhesko Irina D.¹,Moskalev Alexey A.¹

Affiliation:

1. Russian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University, Ministry of Healthcare of the Russian Federation,Moscow,Russia,129226

2. Engelhardt Institute of Molecular Biology, Russian Academy of Sciences,Moscow,Russia,119991

3. Kivach Clinic,Konchezero,Russia,186202

4. I.M. Sechenov First Moscow State Medical University,Pediatric Endocrinology Department,Moscow,Russia,119991

5. Federal Scientific and Clinical Center,Federal Medico-Biological Agency,Moscow,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633303.pdf?arnumber=10633303

Reference8 articles.

1. Artificial intelligence for aging and longevity research: Recent advances and perspectives

2. Artificial Intelligence for Healthy Longevity

3. Deep learning enables rapid identification of potent DDR1 kinase inhibitors

4. Biomarkers of aging for the identification and evaluation of longevity interventions

5. Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations

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