Multiomic & Biomechanical Characterization of Aortopathy using Machine Learning Approach: Towards Personalized Prognostication & Surgical Thresholds
Multiomic & Biomechanical Characterization of Aortopathy using Machine Learning Approach: Towards Personalized Prognostication & Surgical Thresholds
多组学
批准号：
457575
负责人：
Elbatarny Malak
金额：
$10.93万
依托单位：
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2021
资助国家：
加拿大
项目状态：
已结题
起止时间：
2021-11-01 至 2024-11-01
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英文摘要
Aortic dilation can be deadly and often needs surgery, but is unpredictable. We will derive computer-generated comparisons between gene sequences, gene activity level, proteins, and strength of dilated and normal aortic tissues to identify predictors of w
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