Showing 1 - 12 results of 12 for search 'D. O’Donovan', query time: 0.04s
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Personalized computational model quantifies heterogeneity in postprandial responses to oral glucose challenge. by Balázs Erdős, Bart van Sloun, Michiel E Adriaens, Shauna D O'Donovan, Dominique Langin, Arne Astrup, Ellen E Blaak, Ilja C W Arts, Natal A W van Riel
Published 2021-03-01
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E-DES-PROT: A novel computational model to describe the effects of amino acids and protein on postprandial glucose and insulin dynamics in humans by Bart van Sloun, Gijs H. Goossens, Balázs Erdõs, Shauna D. O’Donovan, Cécile M. Singh-Povel, Jan M.W. Geurts, Natal A.W. van Riel, Ilja C.W. Arts
Published 2023-03-01
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Leveraging continuous glucose monitoring for personalized modeling of insulin-regulated glucose metabolism by Balázs Erdős, Shauna D. O’Donovan, Michiel E. Adriaens, Anouk Gijbels, Inez Trouwborst, Kelly M. Jardon, Gijs H. Goossens, Lydia A. Afman, Ellen E. Blaak, Natal A. W. van Riel, Ilja C. W. Arts
Published 2024-04-01
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Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model by Shauna D. O’Donovan, Balázs Erdős, Doris M. Jacobs, Anne J. Wanders, E. Louise Thomas, Jimmy D. Bell, Milena Rundle, Gary Frost, Ilja C.W. Arts, Lydia A. Afman, Natal A.W. van Riel
Published 2022-11-01
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A computational model of postprandial adipose tissue lipid metabolism derived using human arteriovenous stable isotope tracer data. by Shauna D O'Donovan, Michael Lenz, Roel G Vink, Nadia J T Roumans, Theo M C M de Kok, Edwin C M Mariman, Ralf L M Peeters, Natal A W van Riel, Marleen A van Baak, Ilja C W Arts
Published 2019-10-01
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Erratum to: Illuminating uveitis: metagenomic deep sequencing identifies common and rare pathogens by Thuy Doan, Michael R. Wilson, Emily D. Crawford, Eric D. Chow, Lillian M. Khan, Kristeene A. Knopp, Brian D. O’Donovan, Dongxiang Xia, Jill K. Hacker, Jay M. Stewart, John A. Gonzales, Nisha R. Acharya, Joseph L. DeRisi
Published 2016-11-01
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Application of transfer learning to predict drug-induced human in vivo gene expression changes using rat in vitro and in vivo data. by Shauna D O'Donovan, Rachel Cavill, Florian Wimmenauer, Alexander Lukas, Tobias Stumm, Evgueni Smirnov, Michael Lenz, Gokhan Ertaylan, Danyel G J Jennen, Natal A W van Riel, Kurt Driessens, Ralf L M Peeters, Theo M C M de Kok
Published 2023-01-01
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Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes. by Shauna D O'Donovan, Kurt Driessens, Daniel Lopatta, Florian Wimmenauer, Alexander Lukas, Jelmer Neeven, Tobias Stumm, Evgueni Smirnov, Michael Lenz, Gokhan Ertaylan, Danyel G J Jennen, Natal A W van Riel, Rachel Cavill, Ralf L M Peeters, Theo M C M de Kok
Published 2020-01-01
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Quantifying the effect of nutritional interventions on metabolic resilience using personalized computational models by Shauna D. O’Donovan, Milena Rundle, E. Louise Thomas, Jimmy D. Bell, Gary Frost, Doris M. Jacobs, Anne Wanders, Ryan de Vries, Edwin C.M. Mariman, Marleen A. van Baak, Luc Sterkman, Max Nieuwdorp, Albert K. Groen, Ilja C.W. Arts, Natal A.W. van Riel, Lydia A. Afman
Published 2024-04-01
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S112: TISAGENLECLEUCEL IN PEDIATRIC AND YOUNG ADULT PATIENTS (PTS) WITH RELAPSED/REFRACTORY (R/R) B-CELL ACUTE LYMPHOBLASTIC LEUKEMIA (B-ALL): FINAL ANALYSES FROM THE ELIANA STUDY by S. Rives, S. L. Maude, H. Hiramatsu, A. Baruchel, P. Bader, H. Bittencourt, J. Buechner, T. Laetsch, B. De Moerloose, M. Qayed, H. E. Stefanski, K. L. Davis, P. L. Martin, E. Nemecek, C. Peters, G. Yanik, A. Balduzzi, N. Boissel, S. L. Khaw, J. Krueger, J. Levine, S. Davies, G. D. Myers, A. Yeo, D. O’Donovan, R. Ramos, M. Pulsipher, S. Grupp
Published 2022-06-01
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