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#publichealtha — Public Fediverse posts

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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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