AI-Driven One Health Security
Reducing threats to health, economic, social, and national security impacts
Reducing threats to health, economic, social, and national security impacts
The Artificial Intelligence (AI)-Driven One Health Security activities, within the National Security Directorate at Pacific Northwest National Laboratory (PNNL), are focused on disrupting health threats and their impacts through state-of-the-art data science and engineering, science-based decision-making, and communication tools.
As thought leaders in operational AI and One Health, PNNL scientists are tackling the biggest scientific challenges and collaborating with agencies around the world.
For decades, PNNL has leveraged its AI expertise to forecast real-world events.
An AI-Driven One Health Security approach transgresses the current boundaries of data access, harmonization, and analysis, which could ultimately prevent worldwide outbreaks of diseases in animals and humans. It will improve human, animal, plant, and environmental health, while increasing food safety and national security.
At PNNL, researchers are working to rapidly predict, detect, characterize, report, mitigate, and share information on threats of national and international significance.
In 2023, PNNL launched its Center for AI that includes pillars in fundamental research, applied and trustworthy AI to operations, and access to workforce development and world-class infrastructure (to include state-of-the-art AI models, data, and hardware).
The National Biodefense Strategy And Implementation Plan emphasizes the importance of the One Health approach, recognizing the interconnections among people, animals (domestic and wildlife), plants, and the environment.
With expertise in data science and engineering; infectious diseases and health; climate, plant, and environmental science; and cyber and chemical-biological defense, our interdisciplinary teams of scientists are uniquely positioned to understand trends and drivers in this evolving field and be responsive to this dynamic threat.
Intertwined with AI, engineering, and domain expertise, One Health can better leverage a collaborative, multisectoral, and transdisciplinary approach—working at the local, regional, national, and global levels—to achieve optimal health and security results.