As the world continues to adjust to the new normal of the realities of COVID-19, Amii is offering our expertise as part of the Roche Data Science Coalition.
Hoffmann-La Roche (Roche) is committed to working with the global community to develop solutions to the challenges of the COVID-19 pandemic. We have assembled a group of like-minded public and private organizations with a common mission and vision to bring actionable intelligence to patients, frontline healthcare providers, institutions, supply chains, and government. We call ourselves the Roche Data Science Coalition.
The collaboration launches with the UNCOVER challenge (United Network for COVID Data Exploration and Research) on Kaggle.com. The challenge presents a curated collection of datasets from 20 global sources and asks participants to model solutions to key questions that were developed and evaluated by a global frontline of healthcare providers, hospitals, suppliers, and policymakers.
“The Roche Data Science Coalition has come together at a crucial time for the world,” says Amii CEO Cam Linke. “Cross-sector collaboration is key for developing globally-relevant solutions, and Amii is eager to join with other top minds to solidify Alberta’s role in meeting the unique challenges facing the world today.”
Amii scientists will represent Alberta by lending our AI and machine learning expertise to the coalition’s working group alongside public and private organizations like NVIDIA, The Vector Institute and ThinkData Works, among others. Our teams will also open up office hours and idea-generating whiteboard sessions to working group members looking to better understand how to incorporate AI into their solutions.
The coalition is focused on support in three key areas: patient support, insights into capacity issues, and research enhancement. The Kaggle challenge is made up of 12 tasks developed and evaluated by global frontline healthcare providers, hospitals, supply chain and public bodies:
The Roche Data Science Coalition is requesting the collaborative effort of the AI community around the world to contribute to the fight against COVID-19 by sharing their modelled solutions using the presented data and if needed, their own proprietary and non-proprietary datasets.
Together, we can get through this, and we can innovate to make a difference. Join the Kaggle competition today.
Read more about Amii’s commitments to the global fight against COVID-19.
Dec 4th 2023
Learn more about the research and work of Geoffrey Rockwell, one of the latest Fellows to join Amii’s team of world-class researchers. Geoffrey is a professor in both Media Tech Studies and in the philosophy department at the University of Alberta.
Nov 22nd 2023
On October 17, Dr. Deepa Krishnaswamy, from Boston's Brigham and Women's Hospital, presented “AI-derived annotations for lung cancer collections using NCI Imaging Data Commons" at the AI Seminar.
Nov 22nd 2023
On October 20, Eric Graves, from the University of Alberta, presented “Balancing Bias and Variance in Emphatic Off-policy Reinforcement Learning" at the AI Seminar.
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