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Health Data Science Unit

Prof. Dr. Roland Eils

We provide medical informatics solutions to make patient data accessible for clinical research and education.
We specialize in merging clinical and research data for cancer, cardiovascular, and infectious diseases. We develop machine learning prognostic models for disease outcomes and investigate COVID-19 pathophysiology using single-cell RNA sequencing. Eils coordinates the HiGHmed consortium, connecting over 10 German university medical centers, within the national medical informatics initiative.

Research Strategy

Roland Eils work at the BioQuant center focuses on integration of data from clinical care and research to tackle a number of clinical use cases in cancer, cardiovascular diseases and infectious diseases. More specifically, we are developing prognostic models based on machine learning for predicting disease outcomes (Bürgel et al. 2022). Further, we have dissected the mechanisms of COVID-19 pathophysiology leading to severe disease outcome using massive single cell RNA sequencing and computational approaches (Chua et al. 2021). All of our activities are embedded with the national medical informatics initiative, where Roland Eils is coordinating the HiGHmed consortium integrating more than 10 university medical centers across Germany (Haarbrandt et al. 2018).

Roland Eils
Prof. Dr. Roland Eils
  • +49 30 450 543 084

Selected Publications

More information can be found here

Neural network-based integration of polygenic and clinical information: development and validation of a prediction model for 10-year risk of major adverse cardiac events in the UK Biobank cohort

Steinfeldt J, Buergel T, Loock L, Kittner P, Ruyoga G, Zu Belzen JU, Sasse S, Strangalies H, Christmann L, Hollmann N, Wolf B, Ference B, Deanfield J, Landmesser U, Eils R

Lancet Digit Health. 2022

COVID-19 severity correlates with airway epithelium–immune cell interactions identified by single-cell analysis

Chua RL, Lukassen S, Trump S, Hennig BP, Wendisch D, Pott F, Debnath O, Thürmann L, Kurth F, Völker MT, Kazmierski J, Timmermann B, Twardziok S, Schneider S, Machleidt F, Müller-Redetzky H, Maier M, Krannich A, Schmidt S, Balzer F, Liebig J, Loske J, Suttorp N, Eils J, Ishaque N, Liebert UG, von Kalle C, Hocke A, Witzenrath M, Goffinet C, Drosten C, Laudi S, Lehmann I, Conrad C, Sander LE, Eils R

Nat Biotechnol. 2020

HiGHmed - An Open Platform Approach to Enhance Care and Research across Institutional Boundaries

Haarbrandt B, Schreiweis B, Rey S, Sax U, Scheithauer S, Rienhoff O, Knaup-Gregori P, Bavendiek U, Dieterich C, Brors B, Kraus I, Thoms CM, Jäger D, Ellenrieder V, Bergh B, Yahyapour R, Eils R, Consortium H, Marschollek M

Methods Inf Med. 2018