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In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19
(Frontiers Research Foundation, 2021-02-26)
[Abstract] Background: There is pressing urgency to identify therapeutic targets and drugs that allow treating COVID-19 patients effectively.
Methods: We performed in silico analyses of immune system protein interactome ...
Development of an Automatic Low-Cost Air Quality Control System: A Radon Application
(MDPI, 2021-03-01)
[Abstract]
Air pollution is the fourth-largest overall risk factor for human health worldwide. Ambient air pollution (outdoors) and household air pollution (indoors) cause about 6.5 million premature deaths. The World ...
BiOSS: A system for biomedical ontology selection
(Elsevier Ireland Ltd, 2014-04)
In biomedical informatics, ontologies are considered a key technology for annotating, retrieving and sharing the huge volume of publicly available data. Due to the increasing amount, complexity and variety of existing ...
Prediction of Breast Cancer Proteins Involved in Immunotherapy, Metastasis, and RNA-Binding Using Molecular Descriptors and Artifcial Neural Networks
(Springer Nature, 2020-05-22)
[Abstract]
Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression
deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental
determinants are involved. ...
General machine learning model, review, and experimental-theoretic study of magnolol activity in enterotoxigenic induced oxidative stress
(Bentham Science, 2017)
[Abstract] This study evaluated the antioxidative effects of magnolol based on the mouse model induced by Enterotoxigenic Escherichia coli (E. coli, ETEC). All experimental mice were equally treated with ETEC suspensions ...
The iOSC3 system: using ontologies and SWRL rules for intelligent supervision and care of patients with acute cardiac disorders
(Hindawi, 2013)
[Abstract] Physicians in the Intensive Care Unit (ICU) are specially trained to deal constantly with very large and complex quantities of clinical data and make quick decisions as they face complications. However, the ...
Developing a Secure Low-Cost Radon Monitoring System
(MDPI AG, 2020-01-29)
[Abstract] Radon gas has been declared a human carcinogen by the United States Environmental Protection Agency (USEPA) and the International Agency for Research on Cancer (IARC). Several studies carried out in Spain ...
A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors
(MDPI AG, 2020-04-13)
[Abstract]
In recent years, human activity recognition has become a hot topic inside the scientific community. The reason to be under the spotlight is its direct application in multiple domains, like healthcare or fitness. ...
Machine learning analysis of TCGA cancer data
(PeerJ Inc., 2021)
[Abstract] In recent years, machine learning (ML) researchers have changed their focus towards biological problems that are difficult to analyse with standard approaches. Large initiatives such as The Cancer Genome Atlas ...
Ontologies in medicinal chemistry: current status and future challenges
(Bentham Science, 2013)
[Abstract] Recent years have seen a dramatic increase in the amount and availability of data in the diverse areas of medicinal chemistry, making it possible to achieve significant advances in fields such as the design, ...
