Canada slowest in reporting bird flu at 618 days – but COVID shows we can do better
Reports and Proceedings
Updates every hour. Last Updated: 2-Sep-2025 02:11 ET (2-Sep-2025 06:11 GMT/UTC)
The global average for countries to report genetic information about bird flu, crucial to tracking and preventing a human pandemic, was seven months, and Canada came in last, a new study has found.
Authors of the non-peer reviewed commentary published today in Nature Biotechnology say the work highlights the urgent need for Canada and other countries to speed up the pipeline from sampling an infected creature, analysis of the genetic information, and submission to a global scientific database.
Dr. Sarah Otto (SO), professor in the department of zoology, and Sean Edgerton (SE) (he/him), zoology doctoral student, discuss why getting this information quickly is crucial, and how Canada has pulled its socks up once beforeKeywords: Artificial intelligence (AI); DeepSeek; catfish effect; open source; medical applications During the 2025 Chinese Spring Festival, a topic that garnered widespread attention was DeepSeek. On January 20, the Hangzhou-based DeepSeek company released its latest large language model, DeepSeek-R1. This release sent shockwaves through the technology sector and attracted attention from top scientific journals such as Nature and Science (1,2). With its powerful performance and open-source characteristics, DeepSeek-R1 has created substantial pressure on existing artificial intelligence (AI) competitors, exemplifying the “catfish effect” in the AI domain. This concept originates from a classical management theory: Norwegian fishermen placed catfish, a natural predator, in sardine transport tanks, significantly reducing mortality rates by triggering the sardines’ survival instincts. By analogy, in other fields, the introduction of strong competitors often activates industry innovation dynamics. DeepSeek’s emergence has injected new momentum into the AI field, driving rapid technological iteration and innovation.
DeepSeek is an AI platform based on deep learning and natural language processing, featuring core products DeepSeek-R1 and DeepSeek-V3 models. Using efficient Mixture of Experts (MoE) architecture and multimodal data fusion capabilities, it achieves performance comparable to OpenAI's GPT-4o-mini while significantly reducing training costs .
In healthcare applications, DeepSeek rapidly extracts valuable information from massive datasets, providing intelligent information retrieval and analysis solutions that:
- Assist physicians with diagnosis and treatment - Optimize doctor-patient communication - Improve medical efficiency - Supplement professional knowledge - Provide humanized medical interactions - Identify potential blind spots
DeepSeek enhances clinical decision-making efficiency, supports scientific research, optimizes patient management and assists patients with medical decision-making .
However, the platform faces challenges including data quality issues, algorithm stability and accuracy concerns, multimodal data fusion problems, lack of automated information collection, and dynamic update delays .
Future developments may bring breakthroughs in personalized medicine, telemedicine, and public health management .
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