惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

J
Java Code Geeks
Martin Fowler
Martin Fowler
B
Blog RSS Feed
D
DataBreaches.Net
L
LangChain Blog
月光博客
月光博客
S
SegmentFault 最新的问题
阮一峰的网络日志
阮一峰的网络日志
V
Visual Studio Blog
美团技术团队
Jina AI
Jina AI
博客园 - 司徒正美
雷峰网
雷峰网
Last Week in AI
Last Week in AI
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
IT之家
IT之家
博客园 - 三生石上(FineUI控件)
WordPress大学
WordPress大学
小众软件
小众软件
罗磊的独立博客
博客园_首页
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
A
About on SuperTechFans
Engineering at Meta
Engineering at Meta

Vector Institute for Artificial Intelligence

Mohamad Moosavi: Accelerating the search for climate solutions with AI A strategic blueprint for safe health AI implementation: Your 2026 roadmap Vector Institute awards 100 scholarships to Ontario’s top AI graduate students Agentic AI evaluation strategies Hassan Ashtiani: Building trustworthy AI through mathematical foundations Vector researchers advance representation learning and deep learning research at ICLR 2026 Remarkable 2026 Poster Session: 60 research projects shaping AI’s future CRISPNAM-FG: An interpretable Fine-Gray deep survival model for competing risks in health care Demo Day: How the Vector Institute helps Canadian startups turn innovative ideas into commercial reality The New Cartography of the Invisible Vector researchers advance AI frontiers with 80 papers at NeurIPS 2025 New study reveals AI’s $100B economic impact across Canada, with Ontario leading the charge When smart AI gets too smart: Key insights from Vector’s 2025 ML Security & Privacy Workshop Vector Institute names 13 new Faculty Members, expanding core research leadership across Ontario Vector researchers dive into deep learning at ICLR 2025 When AI Meets Human Matters: Evaluating Multimodal Models Through a Human-Centred Lens – Introducing HumaniBench Vector Institute 2024-25 annual report: Where AI research meets real-world impact Vector researchers tackle real-world AI challenges at ICML 2025 Ontario’s AI ecosystem: fueling real economic growth with record number of jobs and private investments Transforming Youth Mental Health Support: FAIIR’s AI-Powered Crisis Response Model Vector Institute awards up to $2.1 million in scholarships to Ontario’s top AI graduate students AI Weather Forecasting Breakthrough: How Canadian Innovation is Transforming Climate Prediction | Aardvark Weather Exploring Intelligence: Vector Faculty Member Kelsey Allen’s Path from Particle Physics to Cognitive Machine Learning Vector Institute Announces the Appointment of Glenda Crisp as President and CEO Vector Institute Unveils Comprehensive Evaluation of Leading AI Models State of Evaluation Study: Vector Institute Unlocks New Transparency in Benchmarking Global AI Models Real World Multi-Agent Reinforcement Learning – Latest Developments and Applications Principles in Action: Introducing the Vector Institute’s Playbook for Responsible AI Product Development Leveraging Large Language Models for More Efficient Systematic Reviews in Medicine and Beyond Global AI Alliance for Climate Action funding announcement
VECTOR RESEARCHER BO WANG DEVELOPS TOOL TO TRACK GENETIC ...
Ian Gormely · 2020-06-18 · via Vector Institute for Artificial Intelligence

By Ian Gormely

A group of researchers, including Vector Faculty Member Bo Wang, have developed the COVID-19 Genotyping Tool (CGT), which tracks the viral genome evolution of the current COVID-19 pandemic. Their work was published in the Lancet.

The SARS-CoV-2 virus, which causes COVID-19, mutates as it moves between people. By tracking this evolution, researchers can gain a better picture of the pandemic’s history — where transmission likely occurred, where and when outbreaks happened, and most importantly, how the virus has evolved.

Understanding viral evolution has direct implications for vaccine design, drug development, and our efforts to control the pandemic.

Co-developed with Wang’s PhD student Hassaan Maan and researchers at McMaster University and Sunnybrook Health Sciences Centre, CGT offers a user-friendly AI-enabled web app that allows researchers to gain insights into the history and outlook of the COVID-19 pandemic. It allows researchers to not only analyze publicly available viral genomes but also securely upload in-house viral genome sequencing data, which can be reprocessed for comparison with public data.

“In doing so,” says Wang, who is also AI Lead at the Peter Munk Cardiac Centre and a Canada CIFAR AI Chair, “they can determine the context of local events with respect to the global picture, and help shape local health policy and alert the community to any key changes in viral evolution.”