Translating Bioinformatics Back To Healthcare: Facilitating the use of Artificial Intelligence at UW Medicine
Konferencijski prilog (Objavljena verzija)
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© 2023 Institute of Molecular Genetics and Genetic Engineering, University of Belgrade
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
It is an opportune time to be engaged in the research and application of informatics
in biomedicine. The increased use of electronic and personal health records and
personal mobile devices is creating many opportunities at research academic medical
centers. At the University of Washington, I believe we are laying the groundwork to
build the informatics and information technology infrastructure to support research on
personalized approaches and the use of data science to enable them. We are beginning
to see the early successes of these efforts and I will describe some of them. But there are
many challenges, for example, we continue to generate massive amounts of data that is
largely uncurated. This includes images, genomes and other -omics datasets, personal
monitors, electronic health records, etc. In this presentation, I will discuss our support of
data for research use within UW Medicine, our efforts to build new machine learning and
data science approaches using clinical ...datasets, and our efforts to develop new machine
learning methods and to implement them so that we can study the impacts of their use.
Ključne reči:
bioinformatics / precision medicine / research computing / data mining / healthcare / geneticsIzvor:
4th Belgrade Bioinformatics Conference, 2023, 4, 5-5Izdavač:
- Belgrade : Institute of molecular genetics and genetic engineering
Napomena:
- Book of abstract: 4th Belgrade Bioinformatics Conference, June 19-23, 2023
Kolekcije
Institucija/grupa
Institut za molekularnu genetiku i genetičko inženjerstvoTY - CONF AU - D. Mooney, Sean PY - 2023 UR - https://belbi.bg.ac.rs/ UR - https://imagine.imgge.bg.ac.rs/handle/123456789/1940 AB - It is an opportune time to be engaged in the research and application of informatics in biomedicine. The increased use of electronic and personal health records and personal mobile devices is creating many opportunities at research academic medical centers. At the University of Washington, I believe we are laying the groundwork to build the informatics and information technology infrastructure to support research on personalized approaches and the use of data science to enable them. We are beginning to see the early successes of these efforts and I will describe some of them. But there are many challenges, for example, we continue to generate massive amounts of data that is largely uncurated. This includes images, genomes and other -omics datasets, personal monitors, electronic health records, etc. In this presentation, I will discuss our support of data for research use within UW Medicine, our efforts to build new machine learning and data science approaches using clinical datasets, and our efforts to develop new machine learning methods and to implement them so that we can study the impacts of their use. PB - Belgrade : Institute of molecular genetics and genetic engineering C3 - 4th Belgrade Bioinformatics Conference T1 - Translating Bioinformatics Back To Healthcare: Facilitating the use of Artificial Intelligence at UW Medicine EP - 5 SP - 5 VL - 4 UR - https://hdl.handle.net/21.15107/rcub_imagine_1940 ER -
@conference{ author = "D. Mooney, Sean", year = "2023", abstract = "It is an opportune time to be engaged in the research and application of informatics in biomedicine. The increased use of electronic and personal health records and personal mobile devices is creating many opportunities at research academic medical centers. At the University of Washington, I believe we are laying the groundwork to build the informatics and information technology infrastructure to support research on personalized approaches and the use of data science to enable them. We are beginning to see the early successes of these efforts and I will describe some of them. But there are many challenges, for example, we continue to generate massive amounts of data that is largely uncurated. This includes images, genomes and other -omics datasets, personal monitors, electronic health records, etc. In this presentation, I will discuss our support of data for research use within UW Medicine, our efforts to build new machine learning and data science approaches using clinical datasets, and our efforts to develop new machine learning methods and to implement them so that we can study the impacts of their use.", publisher = "Belgrade : Institute of molecular genetics and genetic engineering", journal = "4th Belgrade Bioinformatics Conference", title = "Translating Bioinformatics Back To Healthcare: Facilitating the use of Artificial Intelligence at UW Medicine", pages = "5-5", volume = "4", url = "https://hdl.handle.net/21.15107/rcub_imagine_1940" }
D. Mooney, S.. (2023). Translating Bioinformatics Back To Healthcare: Facilitating the use of Artificial Intelligence at UW Medicine. in 4th Belgrade Bioinformatics Conference Belgrade : Institute of molecular genetics and genetic engineering., 4, 5-5. https://hdl.handle.net/21.15107/rcub_imagine_1940
D. Mooney S. Translating Bioinformatics Back To Healthcare: Facilitating the use of Artificial Intelligence at UW Medicine. in 4th Belgrade Bioinformatics Conference. 2023;4:5-5. https://hdl.handle.net/21.15107/rcub_imagine_1940 .
D. Mooney, Sean, "Translating Bioinformatics Back To Healthcare: Facilitating the use of Artificial Intelligence at UW Medicine" in 4th Belgrade Bioinformatics Conference, 4 (2023):5-5, https://hdl.handle.net/21.15107/rcub_imagine_1940 .