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)

扫码查看

原文链接

NETL
NSTL

外文摘要：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.”

外文关键词：

MoscowRussiaEurasiaAngiologyCard iologyCardiovascular Diseases and ConditionsCoronary ArteryCyborgsDrugs and TherapiesEmerging TechnologiesGeneticsHealth and MedicineHeart Attac kHeart DiseaseHeart Disorders and DiseasesIntercellular Signaling Peptides and ProteinsMachine LearningMembrane ProteinsMyocardial InfarctionMyoca rdial IschemiaPersonalized MedicinePersonalized TherapyRisk and PreventionVascular Diseases and ConditionsVascular Endothelial Growth Factor Receptor- 2Vascular Endothelial Growth Factor Receptors

出版年：

2024

Robotics & Machine Learning Daily News

ISSN：

年,卷(期)：2024.(Sep.26)