Health Data Integration Platforms – Forum, March 19, 2021

150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Join the Machine Learning in Medical Imaging Consortium (MaLMIC) for a networking opportunity

Monthly Virtual Forum Series on Zoom

Friday, March 19, 2021
3:30 to 5:30 p.m. EDT

Representatives from Quantitative Imaging for Personalized Cancer Medicine, Brain-CODE and Ontario Health Data Platform presented overviews of their data integration platforms. This was followed by discussion focused on opportunities to collaborate and share resources.

Monthly Virtual Forum Series on Zoom

Friday, March 19, 2021
3:30 to 5:30 p.m. EDT

Representatives from Quantitative Imaging for Personalized Cancer Medicine, Brain-CODE and Ontario Health Data Platform presented overviews of their data integration platforms. This was followed by discussion focused on opportunities to collaborate and share resources.

QIPCM logo

Secure image data sharing in clinical trials and beyond.

Julia Publicover, MSc, PMP
Program Manager, Techna Institute, University Health Network

The QIPCM imaging core lab was conceived for high-quality, auditable and secure image management for clinical trials. More and more, users are looking to leverage the platform for large volume image analysis and processing, including radiomics and ML applications. This talk gave an overview of the QIPCM data-sharing platform including tools, services and quality management program that ensure high-quality image collection, analysis and regulatory compliance. I also discussed current use-cases in radiomics and ML and future aims.

Ontario Brain Institute logo

Brain-CODE and the opportunity for advanced data analytics

Tom Mikkelsen, President & Scientific Director, OBI
Kirk Nylen, Vice President, Integrated Discovery & Informatics, OBI
Brendan Behan, Manager, Informatics & Analytics, OBI

The Ontario Brain Institute (OBI) provided an overview of our Brain-CODE platform, its data holdings, and the opportunity to access and analyze highly standardized data on people living with various brain disorders – ranging from pediatric neurodevelopmental disorders through to neurodegenerative diseases of aging. We hoped to engage high-end data scientists like you in a discussion around potential collaboration opportunities with our large network of clinical experts/researchers.