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Critical Care Medicine|September 23, 2016
Hemodynamic Effect of Different Doses of Fluids for a Fluid Challenge: A Quasi-Randomized Controlled StudyHollmann D Aya, Andrew Rhodes, Irina Chis Ster, et al.
British Journal of Clinical Pharmacology|January 12, 2013
A published pharmacogenetic algorithm was poorly predictive of tacrolimus clearance in an independent cohort of renal transplant recipientsOliver Boughton, Gabor Borgulya, Maurizio Cecconi, et al.
Plos One|November 13, 2018
Improving counterfactual reasoning with kernelised dynamic mixing modelsSonali Parbhoo, Omer Gottesman, Andrew Slavin Ross, et al.
Critical Care Medicine|May 27, 2020
Implications of Obesity for the Management of Severe Coronavirus Disease 2019 PneumoniaMalcolm Lemyze, Nathan Courageux, Thomas Maladobry, et al.
Critical Care (London, England)|May 27, 2024
A scoping review of machine learning for sepsis prediction- feature engineering strategies and model performance: a step towards explainabilitySherali Bomrah, Mohy Uddin, Umashankar Upadhyay, et al.
Journal of Medical Internet Research|April 13, 2023
Fitbit Data to Assess Functional Capacity in Patients Before Elective Surgery: Pilot Prospective Observational StudyAlessandra Angelucci, Massimiliano Greco, Stefano Canali, et al.
Anaesthesia, Critical Care & Pain Medicine|July 29, 2023
The "CHEOPS" bundle for the management of Left Ventricular Diastolic Dysfunction in critically ill patients: an experts' opinionFilippo Sanfilippo, Antonio Messina, Sabino Scolletta, et al.
Intensive Care Medicine|May 9, 2013
Changes in the mean systemic filling pressure during a fluid challenge in postsurgical intensive care patientsMaurizio Cecconi, Hollmann D Aya, Martin Geisen, et al.
Critical Care (London, England)|June 1, 2011
Goal-directed haemodynamic therapy during elective total hip arthroplasty under regional anaesthesiaMaurizio Cecconi, Nicola Fasano, Nicola Langiano, et al.
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