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Northeastern University Receives $17.5 Million CDC Grant to Establish Infectious Disease Detection and Prep Center

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Northeastern University in Boston has been awarded $17.5 million by the CDC to establish an innovation center focused on infectious disease detection and preparation. The Center for Advanced Epidemic Analytics and Predictive Modeling Technology (EPISTORM) will lead efforts to detect and prepare for future outbreaks, particularly in rural areas. The funds will be used to coordinate the work of consortium members across the US, including universities, healthcare organizations, and private companies. The center will utilize AI, machine learning, and wastewater surveillance to make informed decisions during future outbreaks.

Northeastern University Granted $17.5 Million by CDC for Infectious Disease Detection and Preparation

  • Northeastern University in Boston has received $17.5 million from the CDC to establish an innovation center focused on infectious disease detection and preparation.
  • The Center for Advanced Epidemic Analytics and Predictive Modeling Technology (EPISTORM) will lead efforts to detect and prepare for future outbreaks, with a focus on rural areas.
  • The funds will be used to coordinate the work of consortium members, including universities, healthcare organizations, and private companies.
  • The center will utilize AI, machine learning, and wastewater surveillance to make informed decisions during future outbreaks.
  • The CDC has granted Northeastern University in Boston $17.5 million to establish an innovation center focused on infectious disease detection and preparation. The Center for Advanced Epidemic Analytics and Predictive Modeling Technology (EPISTORM) will lead efforts to detect and prepare for future outbreaks, with a particular emphasis on rural areas. The funds will be used to coordinate the work of consortium members across the US, including universities, healthcare organizations, and private companies. The center will employ advanced technologies such as AI, machine learning, and wastewater surveillance to make more informed decisions during future outbreaks.

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    Delia Reynolds
    Delia Reynolds
    Delia Reynolds is a highly-regarded tech news author with an uncanny ability to captivate readers through engaging, concise, and insightful articles. With a passion for innovation, Delia meticulously dissects the latest developments in technology, leaving no stone unturned in the quest for accurate and comprehensive news coverage.

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