Roche Canada Launches Data Science Coalition to Advance COVID-19 Solutions
Coalition created a publicly available centralized repository to enhance research
MISSISSAUGA, ON, April 16, 2020 /CNW/ - Hoffmann-La Roche Limited (Roche Canada) is pleased to announce the launch of the Roche Data Science Coalition, 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.
Effective response to the COVID-19 pandemic requires actionable data insights to support patients, frontline healthcare providers, health institutions, supply chains and government. The Roche Canada Data Science Coalition believes an important way in which this can be supported is through the sharing of knowledge and publicly available healthcare data from sources such as the Johns Hopkins Coronavirus Resource Center, the World Health Organization (WHO) and others, to better inform patient care and health system decision making.
The Coalition has developed a centralized location with more than 200 curated publicly available population datasets gathered from sources across the globe to enhance COVID-19 research. This will focus on informing the management of the global pandemic, as well as providing the scientific and research community with a robust foundation for current and future COVID-19 work.
As individual data is an important part of understanding and responding to COVID-19, the Coalition has also made a self-assessment tool available that can be used by anyone suspected to have or has been diagnosed (currently being treated or recovered) with COVID-19. Individuals can self-report data, and an anonymized COVID-19 dataset will be prepared and shared with the Roche Data Science Coalition data repository where it will be made freely available to researchers around the world. Individuals will be able to use their own data to inform their healthcare professional providing an overview of their symptoms and health history, which could help them to make more informed and efficient assessments.
The Coalition has officially launched a challenge administered by Kaggle, an online community of data scientists and machine learners, called the United Network for COVid-19 Data Exploration and Research ("UNCOVER"). Roche Data Science Coalition datasets will be made accessible to the public on the Kaggle website, calling out to a community of 4.3 million users to answer questions that will focus on capacity management and research studies for COVID-19. The data may also help identify immediate resource and capacity constraints in treating the global COVID-19 patient population.
"It's critical that data on COVID-19 be collated and accessible in order to address this pandemic. Together with our collaborators, this centralized repository for publicly available and individually reported data can support accelerated research efforts and knowledge mobilization globally", said Fanny Sie, Strategic Healthcare Partner, Artificial Intelligence and Digital Health, at Roche Canada.