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Initiatives & Events

The Latest at aiR

  • Roche Data Science Coalition

    RDSC is a group of like-minded public and private organizations committed to working with the global community to develop solutions to the challenges of the COVID-19 pandemic. The collaborators in the Coalition include: Alberta Machine Intelligence Institute (Amii), doc.ai, NVIDIA, Self Care Catalysts, ThinkData Works Inc and Vector Institute.

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  • COVID Long-hauler Project

    The industry coalition and Vector Institute will try to better understand the COVID-19 “Long Haulers” phenomenon by leveraging NLP methodologies and subject matter expertise on unstructured online data (social media, news articles, etc.). The intent is to develop a capability to recognize early signals of symptoms related to a condition that previously has been poorly…

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  • EndALS

    The End ALS Challenge, administered by Kaggle, an online community of data scientists and machine learners, presents 150 rich datasets contributed from 1,000 Answer ALS patient research participants. The goal is to surface insights through an open data competition that connects the global AI and neuroscience communities to better understand the overall biology of amyotrophic…

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  • AI-based Precision Oncology Platform for Development of RNA-based Predictive Biomarkers of Drug Response

    This project aims to develop a new AI-based platform based on RNA-seq data to assist in matching cancer patients to therapies. The main innovation of the system is its ability to leverage both large-scale preclinical pharmacogenomic data and clinical trial datasets to enrich the portfolio of candidate drug response biomarkers. The main focus is on…

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  • Synthetic Data Bootcamp

    Data researchers from various industries have joined forces to participate in the Vector Institute’s Synthetic Data Bootcamp – an intensive three-day study of current trends in synthetic data topics. Data scientists and computational biologists expanded their knowledge base and applied it to the exploration and benchmarking of generative models, such as DPC-GAN, PATE-GAN and fastGAN.…