Lam
What's New
Last Posted: May 05, 2023
- Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease.
Jonathan Y Lam et al. AMIA Annu Symp Proc 2023 2022653-661 - Cardiovascular Disease Risk Assessment Using Traditional Risk Factors and Polygenic Risk Scores in the Million Veteran Program.
Jason L Vassy et al. JAMA Cardiol 2023 - Implementation of Newborn Screening for Conditions in the United States First Recommended during 2010-2018.
Sikha Singh et al. Int J Neonatal Screen 9(2) - Modelling 30-day hospital readmission after discharge for COPD patients based on electronic health records.
Meng Li et al. NPJ Prim Care Respir Med 2023 33(1) 16 - Variant Location Is a Novel Risk Factor for Individuals With Arrhythmogenic Cardiomyopathy Due to a Desmoplakin (DSP) Truncating Variant.
Hoorntje Edgar T et al. Circulation. Genomic and precision medicine 2022 e003672 - Genomics and phenomics of body mass index reveals a complex disease network.
Huang Jie et al. Nature communications 2022 13(1) 7973 - RCMNet: A deep learning model assists CAR-T therapy for leukemia.
Zhang Ruitao et al. Computers in biology and medicine 2022 150106084 - A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study.
Lam Jonathan Y et al. The Lancet. Digital health 2022 4(10) e717-e726 - Enhanced rare disease mapping for phenome-wide genetic association in the UK Biobank.
Patrick Matthew T et al. Genome medicine 2022 14(1) 85 - Exploring the diagnostic utility of genome sequencing for fetal congenital heart defects.
Cao Y et al. Prenatal diagnosis 2022 - A Decade of Progress in Gene Targeted Therapeutic Strategies in Duchenne Muscular Dystrophy: A Systematic Review.
Chung Liang Lam et al. Frontiers in bioengineering and biotechnology 2022 10833833 - Machine learning for technical skill assessment in surgery: a systematic review
K Lam et al, NPJ Digital Medicine, March 4, 2022 - A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study.
Lu Xiangfeng et al. European heart journal 2022 - Multicenter Validation of a Machine Learning Algorithm for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease
JY Lam et al, MEDRXIV, February 8,2022 - Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study.
Tromp Jasper et al. The Lancet. Digital health 2021 - SARS-CoV-2 Genome Sequencing Methods Differ In Their Ability To Detect Variants From Low Viral Load Samples
C Lam et al, BIORXIV, May 3, 2021 - Assessing Lung Cancer Absolute Risk Trajectory based on a Polygenic Risk Model.
Hung Rayjean J et al. Cancer research 2021 Jan - Blood Pressure and Risk of Cardiovascular Disease in UK Biobank: A Mendelian Randomization Study.
Wan Eric Yuk Fai et al. Hypertension (Dallas, Tex. : 1979) 2021 Jan HYPERTENSIONAHA12016138 - Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis.
Chernbumroong Saisakul et al. The European respiratory journal 2020 Dec - International consensus guidelines for phosphoglucomutase 1 deficiency (PGM1-CDG): diagnosis, follow-up and management.
Altassan Ruqaiah et al. Journal of inherited metabolic disease 2020 Jul
More
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
Content Summary
Common HLBS Health Categories
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
- Page last updated:Apr 21, 2024
- Content source: