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Nature Communications|December 13, 2016
Inferring time derivatives including cell growth rates using Gaussian processesPeter S Swain, Keiran Stevenson, Allen Leary, et al.
American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons|June 11, 2025
The relationship between cessation of brain and systemic circulation after withdrawal of life-sustaining measuresMatthew Kolisnyk, Teneille E Gofton, Loretta Norton, et al.
Elife|July 7, 2023
Determining growth rates from bright-field images of budding cells through identifying overlapsJulian M J Pietsch, Alán F Muñoz, Diane-Yayra A Adjavon, et al.
Journal of Intensive Care Medicine|October 24, 2024
Extubation Advisor: Implementation and Evaluation of A Novel Extubation Clinical Decision Support ToolBrett N Hryciw, Natasha Hudek, Jamie C Brehaut, et al.
Nature Protocols|December 20, 2011
Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopyJonathan W Young, James C W Locke, Alphan Altinok, et al.
American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons|July 13, 2022
Cerebral cortical activity after withdrawal of life-sustaining measures in critically ill patientsTeneille E Gofton, Loretta Norton, Geoffrey Laforge, et al.
Transplantation and Cellular Therapy|May 8, 2021
Early Warning of Infection in Patients Undergoing Hematopoietic Stem Cell Transplantation Using Heart Rate Variability and Serum BiomarkersC Arianne Buchan, Heidi Oi-Yee Li, Christophe L Herry, et al.
Scientific Reports|February 14, 2023
Machine learning determination of motivators of terminal extubation during the transition to end-of-life care in intensive care unitPetr Waldauf, Nathan Scales, Jason Shahin, et al.
Canadian Respiratory Journal|July 23, 2016
Practice Variation in Spontaneous Breathing Trial Performance and ReportingStephanie Godard, Christophe Herry, Paul Westergaard, et al.
Critical Care (London, England)|December 5, 2024
Roadmap for the evolution of monitoring: developing and evaluating waveform-based variability-derived artificial intelligence-powered predictive clinical decision support software toolsAndrew J E Seely, Kimberley Newman, Rashi Ramchandani, et al.
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