Healthcare techniques through deep learning: issues, challenges and opportunities
In artificial intelligence, deep learning (DL) is a process that replicates the working
mechanism of the human brain in data processing, and it also creates patterns for decision …
mechanism of the human brain in data processing, and it also creates patterns for decision …
Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19
Abstract Current coronavirus disease-2019 (COVID-19) pandemic has caused massive loss
of lives. Clinical trials of vaccines and drugs are currently being conducted around the world; …
of lives. Clinical trials of vaccines and drugs are currently being conducted around the world; …
[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 …
Comprehensive analysis of alteration landscape and its clinical significance of mitochondrial energy metabolism pathway‐related genes in lung cancers
Z Ye, H Zhang, F Kong, J Lan, S Yi… - Oxidative medicine …, 2021 - Wiley Online Library
Background. Mitochondria are the energy factories of cells. The abnormality of mitochondrial
energy metabolism pathways is closely related to the occurrence and development of lung …
energy metabolism pathways is closely related to the occurrence and development of lung …
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 …
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 …
Bioinformatics and In silico approaches to identify novel biomarkers and key pathways for cancers that are linked to the progression of female infertility: A …
Despite modern treatment, infertility remains one of the most common gynecologic diseases
causing severe health effects worldwide. The clinical and epidemiological data have shown …
causing severe health effects worldwide. The clinical and epidemiological data have shown …