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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