Zobrazeno 1 - 10
of 826
pro vyhledávání: '"biomedical knowledge"'
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract A knowledge graph can effectively showcase the essential characteristics of data and is increasingly emerging as a significant means of integrating information in the field of artificial intelligence. Coronary artery plaque represents a sign
Externí odkaz:
https://doaj.org/article/3bee6b545832418aa2edb08a104bf940
Autor:
Negin Sadat Babaiha, Sathvik Guru Rao, Jürgen Klein, Bruce Schultz, Marc Jacobs, Martin Hofmann-Apitius
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 5, Iss , Pp 100095- (2024)
Biomedical knowledge graphs (KGs) hold valuable information regarding biomedical entities such as genes, diseases, biological processes, and drugs. KGs have been successfully employed in challenging biomedical areas such as the identification of path
Externí odkaz:
https://doaj.org/article/4489f8b37fe44dfb9f4bfce62c3927f1
Autor:
Chenyang Song, Zheni Zeng, Changyao Tian, Kuai Li, Yuan Yao, Suncong Zheng, Zhiyuan Liu, Maosong Sun
Publikováno v:
AI Open, Vol 5, Iss , Pp 104-114 (2024)
Biomedical knowledge is typically organized in a relational scheme, such as chemical-disease relation, gene-disease relation, and gene-pathway relation. Biomedical scientists heavily rely on search engines to acquire up-to-date relational knowledge f
Externí odkaz:
https://doaj.org/article/21360fc6b3d14e988ae14e098c69d38b
Autor:
Marisa Conte, Allen Flynn, Philip Barrison, Peter Boisvert, Zach Landis-Lewis, Charles Friedman
Publikováno v:
Research Ideas and Outcomes, Vol 9, Iss , Pp 1-14 (2023)
We present our work to develop digital objects to represent and convey a specific category of scientific knowledge: computable biomedical knowledge (CBK). Properly developed, validated, implemented and stewarded, CBK has the potential to accelerate t
Externí odkaz:
https://doaj.org/article/c5a153654c72451bab84b553ee990084
Publikováno v:
Journal of Biomedical Semantics, Vol 14, Iss 1, Pp 1-19 (2023)
Abstract Background Knowledge graphs (KGs) are an important tool for representing complex relationships between entities in the biomedical domain. Several methods have been proposed for learning embeddings that can be used to predict new links in suc
Externí odkaz:
https://doaj.org/article/3b9a77a69f5b4507a0fc94b7071e85ba
Autor:
Jeremy C. Wyatt, Philip Scott, Johan Ordish, Matthew South, Mark Thomas, Caroline Jones, Sue Lacey‐Bryant, workshop participants
Publikováno v:
Learning Health Systems, Vol 7, Iss 4, Pp n/a-n/a (2023)
Abstract Introduction To understand when knowledge objects in a computable biomedical knowledge library are likely to be subject to regulation as a medical device in the United Kingdom. Methods A briefing paper was circulated to a multi‐disciplinar
Externí odkaz:
https://doaj.org/article/da2f610850db43bf8c7383a6399e5e1f
Autor:
Marisa Conte, Allen Flynn, Peter Boisvert, Zach Landis-Lewis, Rachel Richesson, Charles Friedman
Publikováno v:
Research Ideas and Outcomes, Vol 8, Iss , Pp 1-5 (2022)
IntroductionWe present current work to develop and define a class of digital objects that facilitates patient cohort identification for clinical studies, such that these objects are Findable, Accessible, Interoperable, and Reusable (FAIR) (Wilkinson
Externí odkaz:
https://doaj.org/article/dcfdb566627147bbbbdd4388687c3cc9
Autor:
E. C. Wood, Amy K. Glen, Lindsey G. Kvarfordt, Finn Womack, Liliana Acevedo, Timothy S. Yoon, Chunyu Ma, Veronica Flores, Meghamala Sinha, Yodsawalai Chodpathumwan, Arash Termehchy, Jared C. Roach, Luis Mendoza, Andrew S. Hoffman, Eric W. Deutsch, David Koslicki, Stephen A. Ramsey
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-33 (2022)
Abstract Background Biomedical translational science is increasingly using computational reasoning on repositories of structured knowledge (such as UMLS, SemMedDB, ChEMBL, Reactome, DrugBank, and SMPDB in order to facilitate discovery of new therapeu
Externí odkaz:
https://doaj.org/article/676d08bd8b4148498728c8e5fe06aba5
Autor:
Jamie McCusker, Leslie D. McIntosh, Chris Shaffer, Peter Boisvert, James Ryan, Vivek Navale, Umit Topaloglu, Rachel L. Richesson
Publikováno v:
Learning Health Systems, Vol 7, Iss 3, Pp n/a-n/a (2023)
Abstract Over the past 4 years, the authors have participated as members of the Mobilizing Computable Biomedical Knowledge Technical Infrastructure working group and focused on conceptualizing the infrastructure required to use computable biomedical
Externí odkaz:
https://doaj.org/article/0a9426d3f73d4aaebb46e9cfae74ba59
Autor:
Allen Flynn, Glen Taksler, Tanner Caverly, Adam Beck, Peter Boisvert, Philip Boonstra, Nate Gittlen, George Meng, Brooke Raths, Charles P. Friedman
Publikováno v:
Learning Health Systems, Vol 7, Iss 2, Pp n/a-n/a (2023)
Abstract Introduction Learning health systems are challenged to combine computable biomedical knowledge (CBK) models. Using common technical capabilities of the World Wide Web (WWW), digital objects called Knowledge Objects, and a new pattern of acti
Externí odkaz:
https://doaj.org/article/121103bdda6e4c049233d6d8bab83817