Cardioinformatics: the nexus of bioinformatics and precision cardiology

BB Khomtchouk, DT Tran, KA Vand… - Briefings in …, 2020 - academic.oup.com
Cardiovascular disease (CVD) is the leading cause of death worldwide, causing over 17
million deaths per year, which outpaces global cancer mortality rates. Despite these …

Climate change vulnerability assessment and adaptation strategies through best management practices

S Giri, RG Lathrop, CC Obropta - Journal of Hydrology, 2020 - Elsevier
There is a growing scientific consensus on climate change and its impact on catchment
scale hydrologic and water quality processes. Therefore, it is not only important to …

Ensemble machine learning model identifies patients with HFpEF from matrix-related plasma biomarkers

M Ward, A Yeganegi, CF Baicu… - American Journal …, 2022 - journals.physiology.org
Arterial hypertension can lead to structural changes within the heart including left ventricular
hypertrophy (LVH) and eventually heart failure with preserved ejection fraction (HFpEF). The …

[引用][C] Machine learning and integrative analysis of biomedical big data

B Mirza, W Wang, J Wang, H Choi, NC Chung, P Ping - Genes, 2019 - MDPI

Extracellular matrix in cardiovascular pathophysiology

M Bloksgaard, M Lindsey… - American Journal of …, 2018 - journals.physiology.org
The extracellular matrix (ECM) actively participates in diverse aspects of cardiovascular
development and physiology as well as during disease development and progression. ECM …

High-dimensionality data analysis of pharmacological systems associated with complex diseases

JO Hendrickx, J van Gastel, H Leysen, B Martin… - Pharmacological …, 2020 - ASPET
It is widely accepted that molecular reductionist views of highly complex human physiologic
activity, eg, the aging process, as well as therapeutic drug efficacy are largely …

High-impact opportunities to address ischemia: a focus on heart and circulatory research

R Al Rimon, VL Nelson, KR Brunt… - American Journal of …, 2022 - journals.physiology.org
Myocardial ischemic injury and its resolution are the key determinants of morbidity or
mortality in heart failure. The cause and duration of ischemia in patients vary. Numerous …

Quantitative temporal analysis of protein dynamics in cardiac remodeling

DB McClatchy, Y Ma, DA Liem, DCM Ng, P Ping… - Journal of molecular and …, 2018 - Elsevier
Cardiac remodeling (CR) is a complex dynamic process common to many heart diseases.
CR is characterized as a temporal progression of global adaptive and maladaptive …

Identifying high-priority proteins across the human diseasome using semantic similarity

E Lau, V Venkatraman, CT Thomas… - Journal of proteome …, 2018 - ACS Publications
Identifying the genes and proteins associated with a biological process or disease is a
central goal of the biomedical research enterprise. However, relatively few systematic …

The role of machine learning applications in diagnosing and assessing critical and non-critical CHD: a scoping review

SM Helman, EA Herrup, AB Christopher… - Cardiology in the …, 2021 - cambridge.org
Machine learning uses historical data to make predictions about new data. It has been
frequently applied in healthcare to optimise diagnostic classification through discovery of …
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