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Blog

Jun 7, 2021

Genomics at Imagia : How AI can help unlock the clinical power of genomic data

Genomic data has the potential to be clinically useful, but its use today is very limited – this potential has not been realized. Imagia is filling this gap by applying cutting edge AI/ML/DL technologies to enable multi-site analysis of ge

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Blog

May 3, 2021

Machine Learning - Understanding Differences between Real World Evidence and Clinical Trial Data for better patient outcomes

How data is collected and managed will impact future discoveries in medical artificial intelligence. This post explains the two types of data sets encountered in the clinical setting and provides the strengths and weaknesses of both, from Imagia

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Blog

Feb 17, 2021

How HDMI supports groundbreaking possibilities in healthcare

The process of labeling data is costly, tedious and is a very manual task  tackled by humans. Current machine learning algorithms require a lot of labeled data in order to reach performance levels that are meaningful. Once, a model is trained o

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Blog

Jan 19, 2021

Federated learning for protecting patient privacy

The application of Machine Learning (ML) in healthcare presents unique challenges. For instance, ML algorithms may require data to be migrated and shared from the same server or datacenter for developing training datasets. In a multi-center heal

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General

Dec 11, 2019

$2.6M to fight cancer using innovative technologies and artificial intelligence

Created by leading financiers wanting to combine academic research and industry expertise, the Onco-Tech Competition is an opportunity for Quebec investigators to accelerate the development, validation and marketing of new medical technologies i

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