The doctoral programme “AI in Public Health”
The Doctoral programme “AI in Public Health” which is unique to the ZKI-PH provides a structured, 3-year framework which supports doctoral students in gaining theoretical knowledge and practical experience in conducting interdisciplinary research at the interface of Artificial Intelligence (AI) and Public Health. The comprehensive curriculum combines theoretical and practical training in a range of AI-related techniques with in depth insights on Public Health providing an innovative interdisciplinary umbrella structure. The main aim of this doctoral programme is to prepare young scientists for a future scientific career in the field of AI-supported Public Health-applications.
The projects of the third PhD cohort
- Predicting the occurrence of vaccine-preventable diseases in Germany with Machine Learning approaches
- Antimicrobial resistance surveillance through innovative ML/AI-driven data visualization
- Assessing measles elimination status through AI-assisted molecular surveillance
- Next level virus isolation in cell culture using artificial intelligence
- Investigating the compounding effects of socio-economic factors on infectious disease dynamics of vector-borne diseases
- Unsupervised pattern identification in biomedical imaging data
The projects of the second PhD cohort
- Analyzing public discourse in information media with AI for deeper insights into concurrent developments in public mental health
- Human-in-the-loop and storytelling-based explainable frameworks for the next generation of explainable ensemble methods and artificial intelligence techniques
- AI-based spatial mapping of multiple microbial pathogens in complex, polymicrobial communities
- Influence of the accessibility to points of interests on physical and mental health of inhabitants of rural regions in Germany
- Immunization planning for climate change
- Unsupervised learning for surveillance indicators
- Monitoring antimicrobial resistance reservoirs and the evolution of virulence through AI-supported next generation annotation of horizontal gene transfer
- AI-supported proteomics analysis for an effective antimicrobial therapy decision
- Tackling increased prevalence of Lassa virus in human, and animal reservoirs using phylogenomics and machine learning approaches
The projects of the first PhD cohort
- AI-assisted monitoring of SARS-CoV-2 and other pathogens using wastewater-based epidemiology
- Social listening – Using social media to address public health issues
- ML-assisted rapid detection of pathogens using nanopore sequencing
- Generating synthetic data to preserve patient privacy in cancer registry
- Exploring the potential impact of immune deficiency and antiviral treatment on SARS-CoV-2 variant emergence with SIMPLICITY
- AI-enhanced visual pattern recognition for diagnostic electron microscopy using the example of viruses
- Modelling of past and future effects of climate change on public health
Three PhD students from ZKI-PH give insights into their work
Please note: The videos are available in German only.
Doctoral student Denis - Denis shares insights into his work at ZKI-PH
Doctoral student Paula - Paula shares insights into her work at ZKI-PH
Doctoral student Silvan - Silvan shares insights into his work at ZKI-PH
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