The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2
virus. Rapid, accurate, and consistent interpretation of generated data is thereby of …

COVID-19 often manifests with different outcomes in different patients, highlighting the
complexity of the host-pathogen interactions involved in manifestations of the disease at the …

To fully understand COVID-19, it is critical to study all possible hosts of SARS-CoV-2 (the
pathogen of COVID-19). In this work, we collected, annotated, and performed ontology …

Mutations allow viruses to continuously evolve by changing their genetic code to adapt to
the hosts they infect. It is an adaptive and evolutionary mechanism that helps viruses acquire …

Background The extensive international research for medications and vaccines for the
devastating COVID-19 pandemic requires a standard reference ontology. Among the current …

Background Pathogenic parasites are responsible for multiple diseases, such as malaria
and Chagas disease, in humans and livestock. Traditionally, pathogenic parasites have …

Motivation Since early 2020, the coronavirus disease 2019 (COVID-19) pandemic has
confronted the biomedical community with an unprecedented challenge. The rapid spread of …

Mid-level ontologies are used to integrate terminologies and data across disparate domains.
There are, however, no clear, defensible criteria for determining whether a given ontology …

To fully understand COVID-19, it is critical to identify and analyze all the possible hosts of
SARS-CoV-2 (the pathogen of COVID-19) and compare them with the hosts of other human …

Abstract The application of Artificial Intelligence (AI) and ontologies to the COVID-19
pandemic has been an active area of research and development. AI techniques such as …