Stents
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Last Posted: Jan 09, 2024
- Machine Learning for Early Prediction of Major Adverse Cardiovascular Events After First Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Retrospective Cohort Study.
Pin Zhang et al. JMIR Form Res 2024 8e48487 - Application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients.
Yu-Ling Hsu et al. BMC Geriatr 2023 23(1) 443 - Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries.
Shinohara Hiroki et al. PloS one 2021 16(8) e0255577 - A machine learning-based approach for the prediction of periprocedural myocardial infarction by using routine data.
Wang Yao et al. Cardiovascular diagnosis and therapy 2020 Oct 10(5) 1313-1324 - Machine Learning to Predict Stent Restenosis Based on Daily Demographic, Clinical, and Angiographic Characteristics.
Sampedro-Gómez Jesús et al. The Canadian journal of cardiology 2020 Feb - Impact of CYP2D6 polymorphisms on tamoxifen treatment in patients with retroperitoneal fibrosis: A first step towards tailored therapy?
Dreger Nici Markus et al. Urology 2019 Dec - Familial Hypercholesterolemia: What Is It and Who Gets It?
By Jessica Mao, M.D., Erin Michos, M.D., M.H.S., Vasanth Sathiyakumar, M.D., Cat Davis Ahmed, and Seth Martin, M.D., U.S. News, July 11, 2019 - Advanced Endoscopic Navigation: Surgical Big Data, Methodology, and Applications.
Luo Xiongbiao et al. Annual review of biomedical engineering 2018 20221-251 - Bronchoscopy
From NHLBI health topic site - Stents
From NHLBI health topic site
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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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 Public Health Genomics Branch 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:Feb 1, 2024
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