#zkiph — Public Fediverse posts

🧬 How can #AI predict peptide properties while remaining transparent and efficient?

A new paper from #RKI researchers introduces PepTriX, a flexible #XAI framework for peptide analysis with high biological interpretability.

🔗 https://doi.org/10.1016/j.nexres.2026.102151

#ZKIPH #XAI #Bioinformatics

🌍 How can case definitions become more useful for global #publichealth?

The Open Syndrome Definition provides an open, machine-readable standard that makes case definitions easier to compare, reuse, and analyse with #AI.

#RKI #ZKIPH #Surveillance

Read more
🔗 https://www.doi.org/10.2196/86249

🖼️ Call a spade a spade: How to deal with objects that are incorrectly/ambiguously labelled in #ML?

New #RKI research from #CVPR2026 outperforms SotA methods by filtering erroneous labels with a “drainage” class.

🔗 https://cvpr.thecvf.com/virtual/2026/poster/39457

#ZKIPH #AI #ComputerVision #AIResearch #ImageClassification

🧬🖥️ 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.

🔗 https://doi.org/10.1016/j.tig.2026.04.001

#ZKIPH #EUAIAct #AIinHealth

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.

🔗 https://doi.org/10.1016/j.isci.2026.115103

#AIinPH #PublicHealtha

📢 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

#Research #ZKIPH #AI #ArtificialIntelligence

🔬 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.

🔗 https://ieeexplore.ieee.org/abstract/document/10980686

#ZKIPH #AIinPH #PublicHealth #Virology #OpenData

🧬 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