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
...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
...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
...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
...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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