Aneurysm
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Last Posted: Nov 28, 2023
- Machine learning algorithms for the prognostication of abdominal aortic aneurysm progression: a systematic review.
Nazifa Ullah et al. Minerva Surg 2023 - Using a polygenic score to account for genomic risk factors in a model to detect individuals with dilated ascending thoracic aortas.
John DePaolo et al. medRxiv 2023 - Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair.
Ben Li et al. Br J Surg 2023 - Artificial Intelligence Application to Screen Abdominal Aortic Aneurysm Using Computed tomography Angiography.
Giovanni Spinella et al. J Digit Imaging 2023 - Familial Associations of Prevalence and Cause-Specific Mortality for Thoracic Aortic Disease and Bicuspid Aortic Valve in a Large-Population Database.
Jason P Glotzbach et al. Circulation 2023 - Predicting personal cardiovascular disease risk based on family health history: Development of expert-based family criteria for the general population.
Tetske Dijkstra et al. European journal of human genetics : EJHG 2023 - Validation of an automated machine learning algorithm for the detection and analysis of cerebral aneurysms.
Marco Colasurdo et al. Journal of neurosurgery 2023 1-8 - Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms.
Yu Huang et al. The EPMA journal 2023 14(1) 73-86 - The Role of Genetic Testing in Patients with Heritable Thoracic Aortic Diseases.
Emanuele Monda et al. Diagnostics (Basel, Switzerland) 2023 13(4) - The role of aldehyde dehydrogenase 2 in cardiovascular disease.
Jian Zhang et al. Nature reviews. Cardiology 2023
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About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Oct 1, 2023
- Page last updated:Dec 01, 2023
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