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Case Study

Case Study: Combining Data Improves Accuracy in the Diagnosis of Alzheimer’s Disease

Challenge: Combine Disparate Data Sets in PreProcessing for ML Summary: Compelling results show that combining data sources generally allowed better diagnostic performance than with any data set alone (Figures 1&2)
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Event

MEDIA ADVISORY: BioSymetrics to Demonstrate Usage of Artificial Intelligence for Healthcare and Biomedical R&D Innovation at Collision 2019

TORONTO – (May 21, 2019) – Biomedical artificial intelligence (AI) company BioSymetrics will be attending Collision 2019, which is being held May 20-23 at the Entercare Centre in Toronto. BioSymetrics is pioneering proprietary data science and machine learning software in order to best optimize medical discovery and life sciences productivity.
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Corporate News

Proud To Join MaRS

We were recently invited to join the MaRS innovation hub of Canadian science and tech companies.  We are honored and humbled, as the MaRS community is certainly a prestigious group of organizations with a mission to create a better world.  Excited to begin our partnership. https://marsdd.com/about/ MaRS Innovation Hub  

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