Welcome to the

Institute for Computational Cancer Biology

at the University Hospital and the Medical Faculty of the University of Cologne.

Mission and Goals

Data science and AI for cancer research

The Institute for Computational Cancer Biology (ICCB) at the University Hospital Cologne was founded in 2022 to advance cancer research through computational methods and to train and educate the next generation of computational cancer scientists. 

We are part of the Cancer Research Center Cologne Essen (CCCE) funded by the Ministry of Culture and Science of the State of North Rhine-Westphalia.

Our mission is to develop bespoke statistical methods, machine learning approaches, algorithms and models to decipher tumour heterogeneity and cancer evolution and improve our understanding of the wealth of genomic, transcriptomic, epigenomic and imaging data collected in cancer research.

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About us

Events

January 13, 2026 - 11am, CIO Building 70, Seminar Room 1/2, Ground Floor

ICCB Seminar Series on Computational Cancer Biology - Helena Kilpinen, PhD

Helena will talk about Joint profiling of cell morphology and gene expression in neuronal disease models

Abstract

Differentiation of induced pluripotent stem cells (iPSC) towards neuronal lineages has enabled diverse cellular models of human neurodevelopment and related disorders. While mutations in genes encoding for epigenetic regulators are an established cause for neurodevelopmental disorders (NDD), their exact molecular mechanisms remain unknown and there is a need for systematic phenotyping of in vitro neurons at scale. We have used Cell Painting, a high-content imaging assay, jointly with transcriptomic profiling in single cells to characterize the biological heterogeneity in developing cortical neurons. We observed that image-based morphological phenotypes enhanced our ability to quantify the biological processes that determine neuronal differentiation outcomes over time and allowed us to identify disease-relevant phenotypes.

About the speaker

Helena Kilpinen is  a tenure-track associate professor in human genetics and genomic medicine at Helsinki Institute of Life Science (HiLIFE) at the University of Helsinki (UH) in Finland and the Faculty of Medicine, and a group leader at FIMM and the Neuroscience Center. Her lab investigates the cellular genetics and the cellular basis of developmental and other brain-related disorders using human induced pluripotent stem cells (iPSC) as models, and combine computational and experimental methods. 

Contact: Laura Godfrey (+49 221 478 51455, laura.godfrey@iccb-­cologne.org), Stefanie Fleer (+49 221 478 15104, stefanie.fleer@iccb­-cologne.org)

About us

News

January 12, 2026

Roland as a guest in the Born & Keppler podcast

Roland was invited to the Born & Keppler podcast hosted by Andreas Deptolla.

The two have discussed challenges and opportunities arising from the use of AI in medical research, particularly in the areas of early detection and resistance development.

In the accompanying blog post, Angelo Materlik discusses "Agentic AI in Medicine: Where Assistance Should End and Autonomy Begins".

to the podcast

July 05, 2024

Symposium "Artificial Intelligence for Human Cancer Medicine"

The Schwarz and Lehmann Labs highlighted their work and the role of AI in cancer research at the symposium ”Artificial Intelligence for Human Cancer Medicine" with Minister-President Hendrik Wüst MdL and NRW Minister of Science Ina Brandes.

Together with scientists from the Cancer Research Center Cologne Essen (CCCE) Brandes discussed how the NRW AI strategy could improve cancer patient care.

For more information see the news link of University Hospital Essen (German only): Symposium „Künstliche Intelligenz für eine menschliche Krebsmedizin“

Research Spotlights

Schwarz Lab - Cologne/Berlin

Cancer Genomics and Evolution

Algorithms for inferring and simulating cancer evolution and for understanding tumour heterogeneity, with a special focus on chromosomal instability and somatic copy-number alterations.

Lehmann Lab - Aachen

Molecular Signatures and Data Integration

Approaches that support the molecular characterisation of patient cohorts and reveal disease mechanisms through integration of diverse types of molecular data.

 

Sponsors and Partners

Funder

University Hospital and University of Cologne

Funder

Cancer Research Center Cologne Essen (CCCE)

funded by the Ministry of Culture and Science of the State of North Rhine-Westphalia.

BIFOLD Logo

Strategic partner

Berlin Institute for the Foundations of Learning and Data (BIFOLD)

funded by the German Ministry of Research, Technology and Space (BMFTR).