[HTML][HTML] Polygenic risk score for cardiovascular diseases in artificial intelligence paradigm: a review
Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The
relationship between external risk factors and our genetics have not been well established. It …
relationship between external risk factors and our genetics have not been well established. It …
Research initiative on sustainable education system: Model of balancing green computing and ict in quality education
Green Computing Practices (GCP) convey the revolutionary changes of the modern
education system. The education system is transforming into a hybrid mode of operations in …
education system. The education system is transforming into a hybrid mode of operations in …
Identification of Comorbidities, Genomic Associations, and Molecular Mechanisms for COVID‐19 Using Bioinformatics Approaches
Several studies have been done to identify comorbidities of COVID‐19. In this work, we
developed an analytical bioinformatics framework to reveal COVID‐19 comorbidities, their …
developed an analytical bioinformatics framework to reveal COVID‐19 comorbidities, their …
[HTML][HTML] Identifying Cardiovascular Disease Risk Factors in Adults with Explainable Artificial Intelligence
KK Kırboğa, EU Küçüksille - Anatolian journal of cardiology, 2023 - ncbi.nlm.nih.gov
Background: The aim of this study was to evaluate the relationship between risk factors
causing cardiovascular diseases and their importance with explainable machine learning …
causing cardiovascular diseases and their importance with explainable machine learning …
A bioinformatics approach to elucidate conserved genes and pathways in C. elegans as an animal model for cardiovascular research
Cardiovascular disease (CVD) is a collective term for disorders of the heart and blood
vessels. The molecular events and biochemical pathways associated with CVD are difficult …
vessels. The molecular events and biochemical pathways associated with CVD are difficult …
Understanding integrative approach of translational bioinformatics on cardiovascular disease: Myocardial Ischemia
Y Ranganathan, S Nazar, RS Krishnan… - Egyptian Journal of …, 2024 - Springer
Background Myocardial ischemia is a significant problem in cardiovascular health caused
by the obstruction or constriction of coronary arteries, resulting in diminished blood supply to …
by the obstruction or constriction of coronary arteries, resulting in diminished blood supply to …
Comprehensive bioinformatics and machine learning analyses for breast cancer staging using TCGA dataset
Breast cancer is an alarming global health concern, including a vast and varied set of
illnesses with different molecular characteristics. The fusion of sophisticated computational …
illnesses with different molecular characteristics. The fusion of sophisticated computational …
Bioinformatics analysis of aging-related genes in thoracic aortic aneurysm and dissection
H Wan, D Liu, B Liu, M Sha, W Xia… - Frontiers in Cardiovascular …, 2023 - frontiersin.org
Objective Thoracic aortic aneurysm and dissection (TAAD) is a cardiovascular disease with
a high mortality rate. Aging is an important risk factor for TAAD. This study explored the …
a high mortality rate. Aging is an important risk factor for TAAD. This study explored the …
[HTML][HTML] Interplay of machine learning and bioinformatics approaches to identify genetic biomarkers that affect survival of patients with glioblastoma
Glioblastoma, also known as grade IV astrocytoma, is an aggressive and quickly developing
brain tumor whose median survival period is believed to be between 12 and 18 months …
brain tumor whose median survival period is believed to be between 12 and 18 months …
[HTML][HTML] Bioinformatics approach to identify the impacts of microgravity on the development of bone and joint diseases
Background Experiencing long-term weightlessness during prolonged spaceflight in
microgravity environments causes enormous changes in human physiology. Past space …
microgravity environments causes enormous changes in human physiology. Past space …