Using machine learning approaches for multi-omics data analysis: A review
With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …
become essential for biomedical studies to undertake an integrative (combined) approach to …
COVID-19, cytokines, inflammation, and spices: How are they related?
Background Cytokine storm is the exaggerated immune response often observed in viral
infections. It is also intimately linked with the progression of COVID-19 disease as well as …
infections. It is also intimately linked with the progression of COVID-19 disease as well as …
Translational precision medicine: an industry perspective
In the era of precision medicine, digital technologies and artificial intelligence, drug
discovery and development face unprecedented opportunities for product and business …
discovery and development face unprecedented opportunities for product and business …
Antimicrobial activity of curcumin in nanoformulations: A comprehensive review
JK Trigo-Gutierrez, Y Vega-Chacón, AB Soares… - International journal of …, 2021 - mdpi.com
Curcumin (CUR) is a natural substance extracted from turmeric that has antimicrobial
properties. Due to its ability to absorb light in the blue spectrum, CUR is also used as a …
properties. Due to its ability to absorb light in the blue spectrum, CUR is also used as a …
[HTML][HTML] Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
Objective To develop prognostic models for survival (alive or deceased status) prediction of
COVID-19 patients using clinical data (demographics and history, laboratory tests, visual …
COVID-19 patients using clinical data (demographics and history, laboratory tests, visual …
Machine learning and OLAP on big COVID-19 data
In the current technological era, huge amounts of big data are generated and collected from
a wide variety of rich data sources. These big data can be of different levels of veracity in the …
a wide variety of rich data sources. These big data can be of different levels of veracity in the …
Artificial intelligence in surveillance, diagnosis, drug discovery and vaccine development against COVID-19
As of August 6th, 2021, the World Health Organization has notified 200.8 million laboratory-
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …
Discovery of adapalene and dihydrotachysterol as antiviral agents for the Omicron variant of SARS-CoV-2 through computational drug repurposing
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been significantly
paralyzing the societies, economies and health care systems around the globe. The …
paralyzing the societies, economies and health care systems around the globe. The …
Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data
A Wang, H Liu, J Yang, G Chen - Computers in biology and medicine, 2022 - Elsevier
Microarray technology facilitates the simultaneous measurement of expression of tens of
thousands of genes and enables us to study cancers and tumors at the molecular level …
thousands of genes and enables us to study cancers and tumors at the molecular level …
[HTML][HTML] COVID-19 signalome: Pathways for SARS-CoV-2 infection and impact on COVID-19 associated comorbidity
K Lundstrom, A Hromić-Jahjefendić, E Bilajac… - Cellular …, 2023 - Elsevier
The COVID-19 pandemic has been the focus of research the past two years. The major
breakthrough was made by discovering pathways related to SARS-CoV-2 infection through …
breakthrough was made by discovering pathways related to SARS-CoV-2 infection through …