Recently, McGill PhD student Kayla O’Sullivan-Steben presented her research to the public as part of a video call hosted by the CodeX Radiation Therapy Treatment Data workgroup at HL7 International. Kayla showed how she is working to integrate radiation therapy treatment information for patients into Opal using the mCODE oncology data standard. Although still in the development phase, the project is very exciting!
Following the announcement of the Quebec SmartCare Consortium, John interviewed with the MUHC Foundation’s Health Matters Podcast. During the interview, John explained the concept of patient-centered data and why it is so important.
The team celebrated the end of 2021 with just our second in-person meeting of the year! Left to right: James, Felix, Haley, Kayla, Hossein, John, Luc.
Thanks to everyone who contributed to making 2021 a fun and productive year despite all the curfews, Zoom meetings, and other restrictions! Looking forward to an even better 2022!
We are pleased to announce that John Kildea is principal investigator and Tarek Hijal is clinical lead on a major new $10M research project funded by the Quebec Ministry of Enterprise and Innovation and a number of private partners via the FACS accelerator fund (Fonds d’accéleration des collaborations en santé). Known as the Quebec SmartCare Consortium, this new initiative is bringing together major Quebec players in the mHealth and AI industries to make healthcare data in Quebec more accessible to patients, clinicians and researchers.
As part of her CGS-D-funded PhD studies in Physics at McGill, Kayla will undertake research in the Kildea Lab to develop novel algorithms and technology to facilitate digital twinning as a means to improve oncology treatments.
Congratulations to Kayla who won the People’s Choice award for her poster presentation entitled “Design and development of a novel infrastructure to securely share radiation therapy and imaging data through direct patient data sharing”.at the virtual 2021 AAPM Big Data Workshop!
This publication is the end result of an undergraduate term research project by McGill Computer Science student Hui Wang. It describes our approach to combine natural language processing and supervised machine learning to help automate incident classification in radiation oncology.
Congratulations to Dr. Logan Montgomery who successfully defended his PhD thesis on “Spectral measurements and carcinogenic effects modelling of secondary neutrons in radiation therapy”. Logan is the first PhD student to obtain a PhD from the Kildea lab!