#zkiph — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #zkiph, aggregated by home.social.
-
🧬🖥️ How do we keep #AI in #genomics safe?
A new paper coauthored by #RKI researchers explores risks such as data bias, quality issues, and #DualUse potential in #GenAI. It highlights how these risks emerge along the innovation pipeline and outlines strategies for safer, responsible use.
-
🧬🖥️ How do we keep #AI in #genomics safe?
A new paper coauthored by #RKI researchers explores risks such as data bias, quality issues, and #DualUse potential in #GenAI. It highlights how these risks emerge along the innovation pipeline and outlines strategies for safer, responsible use.
-
🧬🖥️ How do we keep #AI in #genomics safe?
A new paper coauthored by #RKI researchers explores risks such as data bias, quality issues, and #DualUse potential in #GenAI. It highlights how these risks emerge along the innovation pipeline and outlines strategies for safer, responsible use.
-
🧬🖥️ How do we keep #AI in #genomics safe?
A new paper coauthored by #RKI researchers explores risks such as data bias, quality issues, and #DualUse potential in #GenAI. It highlights how these risks emerge along the innovation pipeline and outlines strategies for safer, responsible use.
-
🧬🖥️ How do we keep #AI in #genomics safe?
A new paper coauthored by #RKI researchers explores risks such as data bias, quality issues, and #DualUse potential in #GenAI. It highlights how these risks emerge along the innovation pipeline and outlines strategies for safer, responsible use.
-
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
🔗 https://doi.org/10.1016/j.isci.2026.115103 -
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
🔗 https://doi.org/10.1016/j.isci.2026.115103 -
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
🔗 https://doi.org/10.1016/j.isci.2026.115103 -
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
🔗 https://doi.org/10.1016/j.isci.2026.115103 -
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
🔗 https://doi.org/10.1016/j.isci.2026.115103 -
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.
-
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.
-
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.
-
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.
-
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.
-
📢 Register now for the #CLIMADEMIC #SummerSchool 2025!🌍🦠
📆 7th – 11th July, 2025 📍 Berlin
Uncover the ways in which #ClimateChange may shape future #Pandemic risks!
🔗 https://www.rki.de/SharedDocs/Termine/EN/ZKI-PH/CLIMADEMIC_Summer_School_07-2025.html
-
🔬 EMViR: A dataset for #virus detection in electron microscopy images – ready for #AI
1,084 EM images of respiratory viruses from the #RKI, including segmentation masks.
👉 Supports AI model development for object detection and classification. -
🔬 EMViR: A dataset for #virus detection in electron microscopy images – ready for #AI
1,084 EM images of respiratory viruses from the #RKI, including segmentation masks.
👉 Supports AI model development for object detection and classification. -
🔬 EMViR: A dataset for #virus detection in electron microscopy images – ready for #AI
1,084 EM images of respiratory viruses from the #RKI, including segmentation masks.
👉 Supports AI model development for object detection and classification. -
🔬 EMViR: A dataset for #virus detection in electron microscopy images – ready for #AI
1,084 EM images of respiratory viruses from the #RKI, including segmentation masks.
👉 Supports AI model development for object detection and classification. -
🔬 EMViR: A dataset for #virus detection in electron microscopy images – ready for #AI
1,084 EM images of respiratory viruses from the #RKI, including segmentation masks.
👉 Supports AI model development for object detection and classification. -
🧬 Warum ist #KI so wichtig in der #PublicHealth-Forschung?
Katharina Ladewig, Leiterin des #ZKIPH am #RKI, erklärt im AOK -Interview, wie KI die Vorbereitung auf künftige Pandemien unterstützen kann – und wie Künstliche Intelligenz beim Kampf gegen Infodemien hilft.
🔗 https://www.aok.de/pp/gg/praevention/ki-public-health-forschung-rki/
-
🎥 Curious how #AI is transforming #PublicHealth? Join us in Berlin for the "AI in Public Health Research" Symposium by #ZKIPH at #RKI!
📅 14th – 15th May 2025
Register by 25th April 2025:
🔗 https://www.rki.de/SharedDocs/Termine/EN/ZKI-PH/AI-in-Public-Health-Research_2025.html