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Kayla O'Sullivan-Steben remporte le prix "Early Career Investigator" au Practical Big Data Workshop 2023

Publié le 20 May 2023

FÉLICITATIONS à Kayla O'Sullivan-Steben, étudiante au doctorat en physique médicale à l'Université McGill sous la supervision de John Kildea qui a remporté le prix "Early Career Investigator" dans le cadre du Practical Big Data Workshop 2023.

L'atelier s'est tenu du 18 au 20 mai 2023 à l'Université de Michigan. La présentation intitulée « Predicting Anatomical Changes in Head and Neck Cancer Patients Undergoing Radiotherapy » a été effectuée sous forme de « High-top laptop presentation ».

À noter que Kayla a aussi co-modéré un panel intitulé « Identifying and Overcoming Barriers to Clinical Implementation ». 

BRAVO Kayla!

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Intraoperative analgesic treatment decisions based on the NOL index: contribution of a data-based approach to improve accuracy and relevance

Student member : Marzieh Ghiyasinasab

This research project is based on the analysis of massive data on the NOL index and other intraoperative clinical parameters used by anesthesiologists during surgery. These parameters help them make analgesic treatment decisions in a non-communicating patient under general anesthesia and in whom it is impossible to assess pain and analgesic needs by standard questionnaires performed on awake patients. 
First, the objective is to interpret the values of this index in relation to the decisions made by the clinician. 

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