Results 251 to 260 of about 123,356 (289)

Application of knowledge graphs in rare disease research. [PDF]

open access: yesFront Public Health
Fei Y, Ding H, Tong S, He Y, Cai W.
europepmc   +1 more source

Generative AI in drug repurposing and biomarker discovery: a multimodal approach. [PDF]

open access: yesFront Bioinform
Saranya K   +3 more
europepmc   +1 more source

The DIKW of Transcriptomics in Ecotoxicology: Extracting Information, Knowledge, and Wisdom From Big Data

open access: yes
Environmental Toxicology and Chemistry, EarlyView.
Jessica A. Head   +2 more
wiley   +1 more source

Ontology-Aware Biomedical Relation Extraction

2022
MotivationAutomatically extracting relationships from biomedical texts among multiple sorts of entities is an essential task in biomedical natural language processing with numerous applications, such as drug development or repurposing, precision medicine, and other biomedical tasks requiring knowledge discovery. Current Relation Extraction (RE) systems
Ahmad Aghaebrahimian   +2 more
openaire   +1 more source

Making biomedical ontologies and ontology repositories work

IEEE Intelligent Systems, 2004
It is becoming impossible to contemplate successful bio-medical research without canonical data structures. The biomedical computation community finds itself grappling with hundreds of different knowledge bases, metadata formats, and database schemas.
N.F. Noy, D.L. Rubin, M.A. Musen
openaire   +1 more source

Towards Automated Biomedical Ontology Harmonization

2014
The use of biomedical ontologies is increasing, especially in the context of health systems interoperability. Ontologies are key pieces to understand the semantics of information exchanged. However, given the diversity of biomedical ontologies, it is essential to develop tools that support harmonization processes amongst them.
Gustavo A, Uribe   +2 more
openaire   +2 more sources

Biomedical Engineering through Ontologies

Proceedings of the International Conference on Knowledge Engineering and Ontology Development, 2014
Biomedical engineering is the application of scientific and mathematical principles to practical ends in the medicine and biology fields. It comprises many research directions including computational model of HIV infection, integration of clinical and experimental data, etc.
Kameas Achilles, Seremeti Lambrini
openaire   +1 more source

Home - About - Disclaimer - Privacy