Pulmonary Hypertension
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Last Posted: May 28, 2024
- High-Throughput Genomics Identify Novel FBN1/2 Variants in Severe Neonatal Marfan Syndrome and Congenital Heart Defects.
Gloria K E Zodanu et al. Int J Mol Sci 2024 25(10) - Pulmonary Hypertension Detection Non-Invasively at Point-of-Care Using a Machine-Learned Algorithm.
Navid Nemati et al. Diagnostics (Basel) 2024 14(9) - Echocardiographic artificial intelligence for pulmonary hypertension classification.
Yukina Hirata et al. Heart 2024 - Yield of genetic evaluation in non-syndromic pediatric moyamoya patients.
Anna L Slingerland et al. Childs Nerv Syst 2023 - A transparent artificial intelligence framework to assess lung disease in pulmonary hypertension.
Michail Mamalakis et al. Scientific reports 2023 13(1) 3812 - Professional expectations and patient expectations concerning the development of Artificial Intelligence (AI) for the early diagnosis of Pulmonary Hypertension (PH).
Winter Peter et al. Journal of responsible technology 2022 12None - Genetic Analysis of Cardiac Syncope-Related Genes in Korean Patients with Recurrent Neurally Mediated Syncope.
Lee Sung Ho et al. Journal of cardiovascular development and disease 2022 9(8) - Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction.
Alabed Samer et al. Radiology 2022 212929 - (De)troubling transparency: artificial intelligence (AI) for clinical applications.
Winter Peter David et al. Medical humanities 2022 - Invited editorial: Q and A on hereditary lung cancer.
Benusiglio Patrick R et al. Respiratory medicine and research 2022 81100881
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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 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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