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#zkiph — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #zkiph, aggregated by home.social.

  1. How is #AI used in syndromic surveillance?

    PhD student @anapaula and her RKI colleagues review how #AI is used in syndromic surveillance.

    Key findings: current approaches are mostly Global North–focused, English text-based and use supervised learning. This highlights gaps for global, privacy-first systems to fill.

    New publication from #ZKIPH at #RKI in @iScience
    🔗 doi.org/10.1016/j.isci.2026.11

  2. How is #AI used in syndromic surveillance?

    PhD student @anapaula and her RKI colleagues review how #AI is used in syndromic surveillance.

    Key findings: current approaches are mostly Global North–focused, English text-based and use supervised learning. This highlights gaps for global, privacy-first systems to fill.

    New publication from #ZKIPH at #RKI in @iScience
    🔗 doi.org/10.1016/j.isci.2026.11

  3. How is #AI used in syndromic surveillance?

    PhD student @anapaula and her RKI colleagues review how #AI is used in syndromic surveillance.

    Key findings: current approaches are mostly Global North–focused, English text-based and use supervised learning. This highlights gaps for global, privacy-first systems to fill.

    New publication from #ZKIPH at #RKI in @iScience
    🔗 doi.org/10.1016/j.isci.2026.11

  4. How is #AI used in syndromic surveillance?

    PhD student @anapaula and her RKI colleagues review how #AI is used in syndromic surveillance.

    Key findings: current approaches are mostly Global North–focused, English text-based and use supervised learning. This highlights gaps for global, privacy-first systems to fill.

    New publication from #ZKIPH at #RKI in @iScience
    🔗 doi.org/10.1016/j.isci.2026.11

  5. How is #AI used in syndromic surveillance?

    PhD student @anapaula and her RKI colleagues review how #AI is used in syndromic surveillance.

    Key findings: current approaches are mostly Global North–focused, English text-based and use supervised learning. This highlights gaps for global, privacy-first systems to fill.

    New publication from #ZKIPH at #RKI in @iScience
    🔗 doi.org/10.1016/j.isci.2026.11

  6. New publication from #ZKIPH at #RKI in @iScience

    PhD student @anapaula and her RKI colleagues review how #AI is used in syndromic surveillance.

    💡 Key findings: current approaches are mostly Global North–focused, English text-based & use supervised learning. This highlights gaps for global, privacy-first systems to fill.

    🔗 doi.org/10.1016/j.isci.2026.11

    #AIinPH #PublicHealtha

  7. New publication from #ZKIPH at #RKI in @iScience

    PhD student @anapaula and her RKI colleagues review how #AI is used in syndromic surveillance.

    💡 Key findings: current approaches are mostly Global North–focused, English text-based & use supervised learning. This highlights gaps for global, privacy-first systems to fill.

    🔗 doi.org/10.1016/j.isci.2026.11

    #AIinPH #PublicHealtha

  8. New publication from #ZKIPH at #RKI in @iScience

    PhD student @anapaula and her RKI colleagues review how #AI is used in syndromic surveillance.

    💡 Key findings: current approaches are mostly Global North–focused, English text-based & use supervised learning. This highlights gaps for global, privacy-first systems to fill.

    🔗 doi.org/10.1016/j.isci.2026.11

    #AIinPH #PublicHealtha

  9. New publication from #ZKIPH at #RKI in @iScience

    PhD student @anapaula and her RKI colleagues review how #AI is used in syndromic surveillance.

    💡 Key findings: current approaches are mostly Global North–focused, English text-based & use supervised learning. This highlights gaps for global, privacy-first systems to fill.

    🔗 doi.org/10.1016/j.isci.2026.11

    #AIinPH #PublicHealtha

  10. New publication from #ZKIPH at #RKI in @iScience

    PhD student @anapaula and her RKI colleagues review how #AI is used in syndromic surveillance.

    💡 Key findings: current approaches are mostly Global North–focused, English text-based & use supervised learning. This highlights gaps for global, privacy-first systems to fill.

    🔗 doi.org/10.1016/j.isci.2026.11

    #AIinPH #PublicHealtha