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Robin Ducharme

Showing results (31-40 of 42) with videos related to

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BMJ Open|January 21, 2015
Clinical effects of blood donor characteristics in transfusion recipients: protocol of a framework to study the blood donor-recipient continuumMichaël Chassé, Lauralyn McIntyre, Alan Tinmouth, et al.
BMC Pediatrics|July 2, 2021
Health services use by children identified as heterozygous hemoglobinopathy mutation carriers via newborn screeningSara D Khangura, Beth K Potter, Christine Davies, et al.
JAMA Network Open|May 26, 2022
Exposure to Intrapartum Epidural Analgesia and Risk of Autism Spectrum Disorder in OffspringMalia S Q Murphy, Robin Ducharme, Steven Hawken, et al.
Scientific Reports|April 19, 2024
Deep learning prediction of renal anomalies for prenatal ultrasound diagnosisOlivier X Miguel, Emily Kaczmarek, Inok Lee, et al.
PLOS Global Public Health|March 24, 2023
Real world external validation of metabolic gestational age assessment in KenyaSteven Hawken, Victoria Ward, A Brianne Bota, et al.
Human Vaccines & Immunotherapeutics|November 12, 2016
Assessing the risk of intussusception and rotavirus vaccine safety in CanadaSteven Hawken, Robin Ducharme, Laura C Rosella, et al.
Gates Open Research|July 13, 2021
External validation of machine learning models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infantsSteven Hawken, Malia S Q Murphy, Robin Ducharme, et al.
JAMA|October 10, 2012
Effect of fresh red blood cell transfusions on clinical outcomes in premature, very low-birth-weight infants: the ARIPI randomized trialDean A Fergusson, Paul Hébert, Debora L Hogan, et al.
BMJ (Clinical Research Ed.)|November 26, 2014
Effect of sirolimus on malignancy and survival after kidney transplantation: systematic review and meta-analysis of individual patient dataGreg A Knoll, Madzouka B Kokolo, Ranjeeta Mallick, et al.
Plos One|March 6, 2023
Development and external validation of machine learning algorithms for postnatal gestational age estimation using clinical data and metabolomic markersSteven Hawken, Robin Ducharme, Malia S Q Murphy, et al.
Pageof 5

Showing results (31-40 of 42) with videos related to

Sort By:
Pageof 5
BMJ Open|January 21, 2015
Clinical effects of blood donor characteristics in transfusion recipients: protocol of a framework to study the blood donor-recipient continuumMichaël Chassé, Lauralyn McIntyre, Alan Tinmouth, et al.
BMC Pediatrics|July 2, 2021
Health services use by children identified as heterozygous hemoglobinopathy mutation carriers via newborn screeningSara D Khangura, Beth K Potter, Christine Davies, et al.
JAMA Network Open|May 26, 2022
Exposure to Intrapartum Epidural Analgesia and Risk of Autism Spectrum Disorder in OffspringMalia S Q Murphy, Robin Ducharme, Steven Hawken, et al.
Scientific Reports|April 19, 2024
Deep learning prediction of renal anomalies for prenatal ultrasound diagnosisOlivier X Miguel, Emily Kaczmarek, Inok Lee, et al.
PLOS Global Public Health|March 24, 2023
Real world external validation of metabolic gestational age assessment in KenyaSteven Hawken, Victoria Ward, A Brianne Bota, et al.
Human Vaccines & Immunotherapeutics|November 12, 2016
Assessing the risk of intussusception and rotavirus vaccine safety in CanadaSteven Hawken, Robin Ducharme, Laura C Rosella, et al.
Gates Open Research|July 13, 2021
External validation of machine learning models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infantsSteven Hawken, Malia S Q Murphy, Robin Ducharme, et al.
JAMA|October 10, 2012
Effect of fresh red blood cell transfusions on clinical outcomes in premature, very low-birth-weight infants: the ARIPI randomized trialDean A Fergusson, Paul Hébert, Debora L Hogan, et al.
BMJ (Clinical Research Ed.)|November 26, 2014
Effect of sirolimus on malignancy and survival after kidney transplantation: systematic review and meta-analysis of individual patient dataGreg A Knoll, Madzouka B Kokolo, Ranjeeta Mallick, et al.
Plos One|March 6, 2023
Development and external validation of machine learning algorithms for postnatal gestational age estimation using clinical data and metabolomic markersSteven Hawken, Robin Ducharme, Malia S Q Murphy, et al.
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