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Akademický článek

An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes

Autor: C. Hamel, S. E. Kelly, K. Thavorn, D. B. Rice, G. A. Wells, B. Hutton

Publikováno v: BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-14 (2020)

Abstract Background Systematic reviews often require substantial resources, partially due to the large number of records identified during searching. Although artificial intelligence may not be ready to fully replace human reviewers, it may accelerat

Externí odkaz: https://doaj.org/article/e3f77ca07b6249788b199cc4d16fe7e3

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Akademický článek

Assessing the Course of Organ Dysfunction Using Joint Longitudinal and Time-to-Event Modeling in the Vasopressin and Septic Shock Trial

Autor: Michael O. Harhay, PhD, Alessandro Gasparini, PhD, Allan J. Walkey, MD, MS, Gary E. Weissman, MD, MSHP, Michael J. Crowther, PhD, Sarah J. Ratcliffe, PhD, James A. Russell, MD, on behalf of the Vasopressin and Septic Shock Trial (VASST) Investigators, J. A. Russell, K. R. Walley, C. L. Holmes Boulton, J. T. Granton, P. C. Hebert, D. J. Cooper, S. Mehta, J. Singer, A. C. Gordon, M. M. Storms, S. Jones, G. R. Bernard, A. S. Slutsky, G. A. Wells, A. Gasparini, B. Savage, D. Ayers, R. Woods, K. Wu, M. Maralit, L. Smith, K. Foley, A. Suri, M. Steinberg, B. Howe, P. Galt, A. Higgins, M. E. LeBlanc, A. M. Sutherland, A. Sham, A. McLeod, D. R. Dorscheid, M. Hameed, L. Lazosky, S. Helderweirt, C. Honeyman, T. Terins, D. Chittock, J. Ronco, S. Logie, G. Wood, F. Auld, V. Stedham, M. Mantle, L. Fox, G. D. McCauley, J. D. Rolf, C. Erbacher, G. Martinka, S. Goulding, S. Silverwood, L. Leung, S. Keenan, J. Murray, M. Van Osch, B. Light, M. Dominique, P. Gray, R. Stimpson, S. Rosser, D. Bell, W. Janz, T. McArdle, I. Watpool, A. Matte-Martyn, D. J Cook, E. McDonald, F. Clarke, A. Tkaczyk, N. Zytaruk, T. Stewart, C. Martinez-Motta, R. MacDonald, V. Sivanantham, R. Hodder, J. Foxall, M. Lewis, M. Ward, C. Dos Santos, J. Friedrich, D. Scales, O. Smith, I. DeCampos, A. Richards, H. Michalopoulos, U. Bakshi, W. Sibbald, T. Smith, K. Code, B. Bojilov, C. Dale, M. Keogh, M. Meade, L. Hand, C. Martin, J. Kehoe, V. Binns, M. McGuire, G. Poirier, L. Provost, J. Muscedere, C. Diemer, V. Pellegrino, A. Hilton, S. Morrison, C. Weatherburn, K. Moulden, C. Harry, J. J. Presneill, M. S Robertson, J. F. Cade, B. D. Howe, D. K. Barge, C. A. Boyce, F. Healy, C. Wright, D. Weyandt, J. Barrett, C. Walker, S. Burton, G. Dobb, S. Perryman, J. Chamberlain, L. Thomas, A. Bersten, L. Daly, T. Hunt, D. Wood, B. Patel, J. Larson, M. Rady, G. LeBrun, E. Boyd, R. Rush

Publikováno v: Critical Care Explorations, Vol 2, Iss 4, p e0104 (2020)

Objectives:. Non-mortality septic shock outcomes (e.g., Sequential Organ Failure Assessment score) are important clinical endpoints in pivotal sepsis trials. However, comparisons of observed longitudinal non-mortality outcomes between study groups ca

Externí odkaz: https://doaj.org/article/2056019742ec46f58eab1b0a39ae1800

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Predicting binding affinity changes from long-distance mutations using MD simulations and Rosetta

Autor: Nicholas G. M. Wells, Colin A. Smith

Computationally modeling how mutations affect protein-protein binding not only helps uncover the biophysics of protein interfaces, but also enables the redesign and optimization of protein interactions. Traditional high-throughput methods for estimat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a108967f139a86d079e4653982689713
https://doi.org/10.1101/2022.04.26.489494

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