Polygenic and clinical risk scores and their impact on age at onset and prediction of cardiometabolic diseases and common cancers
Polygenic risk scores (PRSs) have shown promise in predicting susceptibility to common
diseases,–. We estimated their added value in clinical risk prediction of five common …
diseases,–. We estimated their added value in clinical risk prediction of five common …
[HTML][HTML] Electrocardiogram-based heart age estimation by a deep learning model provides more information on the incidence of cardiovascular disorders
CH Chang, CS Lin, YS Luo, YT Lee… - Frontiers in Cardiovascular …, 2022 - frontiersin.org
Objective The biological age progression of the heart varies from person to person. We
developed a deep learning model (DLM) to predict the biological age via ECG to explore its …
developed a deep learning model (DLM) to predict the biological age via ECG to explore its …
Integration of questionnaire-based risk factors improves polygenic risk scores for human coronary heart disease and type 2 diabetes
Large-scale biobank initiatives and commercial repositories store genomic data collected
from millions of individuals, and tools to leverage the rapidly growing pool of health and …
from millions of individuals, and tools to leverage the rapidly growing pool of health and …
Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort …
Background Evaluation of cardiovascular disease risk in primary care, which is
recommended every 5 years in middle-aged and older adults (typical age range 40–75 …
recommended every 5 years in middle-aged and older adults (typical age range 40–75 …
Acute myocardial infarction triggered by physical exertion: a systematic review and meta-analysis
V Čulić, A Alturki, R Vio, R Proietti… - European Journal of …, 2023 - academic.oup.com
Aims While regular physical activity has clear benefits to cardiovascular health, physical
exertion can trigger acute myocardial infarction (AMI). We aimed to estimate how many AMIs …
exertion can trigger acute myocardial infarction (AMI). We aimed to estimate how many AMIs …
Machine learning approach to classify cardiovascular disease in patients with nonalcoholic fatty liver disease in the UK Biobank Cohort
Background Nonalcoholic fatty liver disease (NAFLD) is the most prevalent liver disease
worldwide. Cardiovascular disease (CVD) is the leading cause of mortality among patients …
worldwide. Cardiovascular disease (CVD) is the leading cause of mortality among patients …
The interface of therapeutics and genomics in cardiovascular medicine
EF Magavern, JC Kaski, RM Turner… - … Drugs and Therapy, 2021 - Springer
Pharmacogenomics has a burgeoning role in cardiovascular medicine, from warfarin dosing
to antiplatelet choice, with recent developments in sequencing bringing the promise of …
to antiplatelet choice, with recent developments in sequencing bringing the promise of …
Aortic pulse wave velocity as adjunct risk marker for assessing cardiovascular disease risk: prospective study
CA Valencia-Hernández, JV Lindbohm, MJ Shipley… - …, 2022 - Am Heart Assoc
Background: Aortic pulse wave velocity is a noninvasive measure of aortic stiffness and
arterial aging. Its current value in cardiovascular risk estimation practice is unknown. We …
arterial aging. Its current value in cardiovascular risk estimation practice is unknown. We …
Using the photoplethysmography method to monitor age-related changes in the cardiovascular system
B Djurić, K Žikić, Z Nestorović… - Frontiers in …, 2023 - frontiersin.org
Introduction: Aging is a physiological process characterized by progressive changes in all
organ systems. In the last few decades, the elderly population has been growing, so the …
organ systems. In the last few decades, the elderly population has been growing, so the …
Predicting the long‐term outcomes of biologics in patients with psoriasis using machine learning
S Emam, AX Du, P Surmanowicz… - British Journal of …, 2020 - academic.oup.com
1 Hafner C, Toll A, Gantner S et al. Keratinocytic epidermal nevi are associated with mosaic
RAS mutations. J Med Genet 2012; 49: 249–53. 2 Hafner C, van Oers JM, Vogt T et al …
RAS mutations. J Med Genet 2012; 49: 249–53. 2 Hafner C, van Oers JM, Vogt T et al …