Katharina Dannenberg
Katharina Dannenberg Position: Postdoctoral Researcher School/office: School of Medical SciencesEmail: a2F0aGFyaW5hLmRhbm5lbmJlcmc7b3J1LnNl
Phone: +46 790 676810
Room: X2219
About Katharina Dannenberg
Katharina Dannenberg is a bioinformatician in the Functional Bioinformatics group and is also part projects driven by Örebro SciLifeLab Clinical Genomics. Apart from basic bioinformatic procedures, she mostly works with machine learning models for prediction using clinical and all kinds of molecular data as well as their interactions. She is part of different research projects on inflammatory diseases, for example in the gut or the cardiovascular system, as well as sepsis. She is also involved in projects within psychology and environmental forensics.
She has a background in bioinformatics and computer science with a focus on algorithmics. In 2021, she obtained her doctoral degree from the Universität zu Lübeck (University at Lübeck, Germany). Her doctoral thesis is about causality from purely observational data.
Katharina has been involved and interested in teaching for many years and contributes to different courses on Master's and doctoral level.
Research groups
Publications
Articles in journals
- Grännö, O. , Bergemalm, D. , Salomon, B. , Lindqvist, C. M. , Hedin, C. R. H. , Carlson, M. , Dannenberg, K. , Andersson, E. & et al. (2024). Preclinical protein signatures of Crohn's disease and ulcerative colitis: A nested case-control study within large population-based cohorts. Gastroenterology. [BibTeX]
- Zhao, X. , Dannenberg, K. , Repsilber, D. , Gerdle, B. , Molander, P. & Hesser, H. (2024). Prognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework. Scientific Reports, 14 (1). [BibTeX]
- Tuerxun, K. , Eklund, D. , Wallgren, U. , Dannenberg, K. , Repsilber, D. , Kruse, R. , Särndahl, E. & Kurland, L. (2023). Predicting sepsis using a combination of clinical information and molecular immune markers sampled in the ambulance. Scientific Reports, 13 (1). [BibTeX]
Conference papers
- Grännö, O. , Salomon, B. , Lindqvist, C. M. , Hedin, C. R. H. , Carlson, M. , Dannenberg, K. , Andersson, E. , Söderholm, J. D. & et al. (2024). Preclinical protein signatures in blood predict Crohn's disease and Ulcerative colitis several years before the diagnosis. In: Journal of Crohn's & Colitis. Paper presented at 9th Congress of ECCO, Stockholm, Sweden, February 21-24, 2024. (pp. I660-I661). Oxford University Press. [BibTeX]
Manuscripts
- Visuri, I. , Dannenberg, K. , Salomon, B. , Ling Lundström, M. , Bergemalm, D. , Eriksson, C. , Lindqvist, C. M. , Keita, Å. V. & et al. Correlations of clinical characteristics and serum proteins with drug levels : A multicentre cohort study of patients with inflammatory bowel disease starting biologics. [BibTeX]