Paper

Public Private Partnerships in trust-based public health social networking: Connecting organizations for regional disease surveillance (CORDS)

Public Private Partnerships in trust-based public health social networking: Connecting organizations for regional disease surveillance (CORDS)

Louise S. Gresham PhD, MPH

Journal of Commercial Biotechnology (2011) Volume 17

Co-authors:  Leslie A Pray, Suwit Wibulpolprasert and Beverly Trayner

The article describes a new trust-based global health security initiative known as CORDS: Connecting Organizations for Regional Disease Surveillance. Initiated and managed by the Nuclear Threat Initiative with support of The Rockefeller Foundation, Fondation Mérieux and the Skoll Global Threats Fund. CORDS is a non-governmental platform to transform dialogue among public health, veterinary and wildlife professionals from multi-country infectious disease surveillance networks. It also links with the World Health Organization, World Organization for Animal Health and other global partners in managing cross-border emerging infectious disease threats and building disease surveillance capacity. The public–private partnerships of CORDS create a global social fabric and continuity of disease experts based upon trust.

Click here for access to the article through the publisher. 

 

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AIxBio Horizon Scan: Spring 2026

Paper

AIxBio Horizon Scan: Spring 2026

Since the AIxBio Horizon Scan Winter 2025-2026 published in March 2026, there has been steady, incremental progress across AI-enabled biological tools. Protein design tools have continued to improve, agentic coding tools have matured in ways that lower barriers to computational biology, and commercial AI companies are making significant investments in the life sciences.


AIxBio Horizon Scan Winter 2025-2026

Paper

AIxBio Horizon Scan Winter 2025-2026

The AIxBio field stands at a critical juncture where rapid capability advances are outpacing governance frameworks and safety measures. The next 18 months will likely prove pivotal in determining whether voluntary safety practices by AI companies, emerging evaluation frameworks, and international coordination efforts can keep pace with technological development.



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