Lab profile
About IKIM
IKIM brings together researchers from multiple disciplines to perform applied and foundational research in artificial intelligence for medicine. The institute focuses on understanding and reasoning about medical data including clinical reports, medical imagery, and genome data to improve patient care, understand disease mechanisms, and decipher the role of the microbiome in health and disease. The institute works towards a more individualized, targeted and sustainable future of medical care.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- BMFTR - VaSequIsPredicting Infectious Disease Outbreaks
- EFRE - WINKIDWestdeutsches Infektionspräventionsnetzwerk - KI-basierte Antibiotikaresistenzdetektion
- WBEready - Wastewater based epidemiologyExploring and optimizing the use of wastewater for public health purposes
- MicrobiomSepsisPredPrediction of Sepsis on the basis of microbiome sequence data
- Research Training Group WisPerMedKnowledge- and Data-Based Personalization of Medicine at the Point of Care
- Smart Hospital Information Platform (SHIP) AIRefining and expediting diagnoses and optimizing the quality of patient care by the use of Artificial Intelligence with more than thirty ongoing projects.
- Annotation LabSpecializes in the annotation of medical data including images, text and beyond for creating high-quality datasets.
- Data Integration Centre EssenOne of the German Medical Informatics Initiative's data integration centres enabling the collection, integration, and exchange of medical data for clinical care and research.
- Snakemake workflow management systemOne of the most widely used frameworks for reproducible data science.
- BiocondaPackages and distributes life science related research software with over 300 million downloads.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- ERMA: a harmonizing epicPCR data analysis tool.BMC genomics · 2026
- Automatic segmentation and modeling of the aortic vessel tree: Overview of the SEG.A 2023 aorta segmentation challenge.Medical image analysis · 2026
- Deep learning segmentation of the cerebral ventricular system and brainstem for pediatric radiotherapy planning.Physics and imaging in radiation oncology · 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
No news has been collected from the lab’s site yet.
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.