Faculty of Computer Science Reports Findings in Personalized Medicine (Machine l earning models for predicting risks of MACEs for myocardial infarction patients with different VEGFR2 genotypes)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news originating from Moscow, Russia, by NewsRx correspondents, research stated, “The development of prognostic models for the identification of high-risk myocardial infarction (MI) patients is a crucial step toward personalized medicine. Genetic factors ar e known to be associated with an increased risk of cardiovascular diseases; howe ver, little is known about whether they can be used to predict major adverse car diac events (MACEs) for MI patients.”

Key words

Moscow/Russia/Eurasia/Angiology/Card iology/Cardiovascular Diseases and Conditions/Coronary Artery/Cyborgs/Drugs and Therapies/Emerging Technologies/Genetics/Health and Medicine/Heart Attac k/Heart Disease/Heart Disorders and Diseases/Intercellular Signaling Peptides and Proteins/Machine Learning/Membrane Proteins/Myocardial Infarction/Myoca rdial Ischemia/Personalized Medicine/Personalized Therapy/Risk and Prevention/Vascular Diseases and Conditions/Vascular Endothelial Growth Factor Receptor- 2/Vascular Endothelial Growth Factor Receptors

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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