Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression
Glioblastoma (GBM) is a common malignant brain tumor which often presents as a
comorbidity with central nervous system (CNS) disorders. Both CNS disorders and GBM …
comorbidity with central nervous system (CNS) disorders. Both CNS disorders and GBM …
[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 …
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes
Abstract Type 2 Diabetes (T2D) is a chronic disease characterized by abnormally high blood
glucose levels due to insulin resistance and reduced pancreatic insulin production. The …
glucose levels due to insulin resistance and reduced pancreatic insulin production. The …
[HTML][HTML] Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection results in the
development of a highly contagious respiratory ailment known as new coronavirus disease …
development of a highly contagious respiratory ailment known as new coronavirus disease …
[HTML][HTML] In silico molecular docking and ADME/T analysis of Quercetin compound with its evaluation of broad-spectrum therapeutic potential against particular …
Progression in computational research has made it possible for the in silico methods to offer
epochal benefits to both regulatory needs and the pharmaceutical industry to assess the …
epochal benefits to both regulatory needs and the pharmaceutical industry to assess the …
Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases
Abstract The Coronavirus Disease 2019 (COVID-19) still tends to propagate and increase
the occurrence of COVID-19 across the globe. The clinical and epidemiological analyses …
the occurrence of COVID-19 across the globe. The clinical and epidemiological analyses …
[HTML][HTML] An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients
Background With high inflammatory states from both COVID-19 and HIV conditions further
result in complications. The ongoing confrontation between these two viral infections can be …
result in complications. The ongoing confrontation between these two viral infections can be …
DNA methylation and expression profiles of placenta and umbilical cord blood reveal the characteristics of gestational diabetes mellitus patients and offspring
S Lu, J Wang, N Kakongoma, W Hua, J Xu, Y Wang… - Clinical …, 2022 - Springer
Background Gestational diabetes mellitus (GDM) is a common pregnancy-specific disease
and is growing at an alarming rate worldwide, which can negatively affect the health of …
and is growing at an alarming rate worldwide, which can negatively affect the health of …
Integrated bioinformatics analysis reveals marker genes and immune infiltration for pulmonary arterial hypertension
S Tang, Y Liu, B Liu - Scientific reports, 2022 - nature.com
Pulmonary arterial hypertension (PAH) is a chronic cardiopulmonary syndrome with high
pulmonary vascular load and eventually causing RV heart failure even death. However, the …
pulmonary vascular load and eventually causing RV heart failure even death. However, the …
Bioinformatics and system biological approaches for the identification of genetic risk factors in the progression of cardiovascular disease
Background. Cardiovascular disease (CVD) is the combination of coronary heart disease,
myocardial infarction, rheumatic heart disease, and peripheral vascular disease of the heart …
myocardial infarction, rheumatic heart disease, and peripheral vascular disease of the heart …