CORE F: ARTIFICIAL INTELLIGENCE AND BIOINFORMATICS ? SUMMARY/ABSTRACT This Core will meet two major unmet needs for our Nathan Shock Center and the geroscience community at large. First, we will offer integrated statistical and bioinformatics consulting for all Center-supported projects from experimental design through to publication. This ensures that our Center resources have the greatest opportunity to support high-impact studies in aging research and also meets an important goal of enhancing rigor and reproducibility in biomedical research. Second, we will bring state-of-the-art computational approaches, particularly in the area of Artificial Intelligence (AI), to support Center users and maximize the impact of the other Resource Cores.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
2P30AG013280-26
Application #
10042623
Study Section
Special Emphasis Panel (ZAG1)
Project Start
1997-07-15
Project End
2025-05-31
Budget Start
2020-09-01
Budget End
2021-05-31
Support Year
26
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Washington
Department
Type
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
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Kramer, Philip A; Duan, Jicheng; Gaffrey, Matthew J et al. (2018) Fatiguing contractions increase protein S-glutathionylation occupancy in mouse skeletal muscle. Redox Biol 17:367-376
Kaeberlein, Matt (2018) How healthy is the healthspan concept? Geroscience 40:361-364
Crane, Matthew M; Kaeberlein, Matt (2018) The paths of mortality: how understanding the biology of aging can help explain systems behavior of single cells. Curr Opin Syst Biol 8:25-31
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Chen, Kenneth L; Crane, Matthew M; Kaeberlein, Matt (2017) Microfluidic technologies for yeast replicative lifespan studies. Mech Ageing Dev 161:262-269
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Bennett, Christopher F; Kwon, Jane J; Chen, Christine et al. (2017) Transaldolase inhibition impairs mitochondrial respiration and induces a starvation-like longevity response in Caenorhabditis elegans. PLoS Genet 13:e1006695

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