Prof. Dr. Ingo Röder
Person

Affiliations

Institute for Medical Informatics and Biometry
- Academic Staff
- ingo.roeder@tu-dresden.de
Faculty of Computer Sciences
- Associated/Co-opted member of the faculty

Identification Numbers

ORCID	0000-0002-6741-0608
Scopus author ID	6602396134

Predicting treatment-free remission in chronic myeloid leukemia patients using an integrated model of tumor-immune dynamics

Fassoni, A. C., Yong, A. S. M., Clark, R. E., Roeder, I. & Glauche, I., 16 Oct 2025, In: npj systems biology and applications. 11, 1, 115.

Research output: Contribution to journal › Research article › Contributed › peer-review

Impact of exposure frequency on disease burden of the common cold - A mathematical modeling perspective

Gerdes, S., Rank, M., Glauche, I. & Roeder, I., Oct 2025, In: PloS one. 20, 10, e0334527.

Research output: Contribution to journal › Research article › Contributed › peer-review

Limitations of estimating antibiotic resistance using German hospital consumption data - a comprehensive computational analysis

Rank, M., Kather, A., Wilke, D., Steib-Bauert, M., Kern, W. V., Röder, I. & de With, K., 18 Mar 2025, In: Scientific reports. 15, 1, 7 p., 9244.

Research output: Contribution to journal › Research article › Contributed › peer-review

German Medical Data Sciences 2024: Preface to the 8th Volume

Röhrig, R., Knaup-Gregori, P., Sedlmayr, M., Grabe, N., Hübner, U. H., Jung, K. & König, J. & 6 others, Röder, I., Sax, U., Schmidt, C. O., Schmitt, J., Zapf, A. & Zöller, D., 30 Aug 2024, Health – Thinking, Researching and Acting Together: Proceedings of the 69th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2024 in Dresden, Germany. p. VII-IX (Studies in health technology and informatics, Vol. 317).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Foreword/Postscript › Contributed › peer-review

Hybrid Immunity Protects against Antibody Fading after SARS-CoV-2mRNA Vaccination in Kidney Transplant Recipients, Dialysis Patients, and Medical Personnel: 9 Months Data from the Prospective, Observational Dia-Vacc Study

Stumpf, J., Siepmann, T., Schwöbel, J., Karger, C., Lindner, T. H., Faulhaber-Walter, R. & Langer, T. & 23 others, Escher, K., Anding-Rost, K., Seidel, H., Hüther, J., Pistrosch, F., Martin, H., Schewe, J., Stehr, T., Meistring, F., Paliege, A., Schneider, D., Steglich, A., Gembardt, F., Kessel, F., Kröger, H., Arndt, P., Sradnick, J., Frank, K., Klimova, A., Mauer, R., Roeder, I., Tonn, T. & Hugo, C., 19 Jul 2024, In: Vaccines : open access journal. 12 (2024), 7, 20 p., 801.

Research output: Contribution to journal › Research article › Contributed › peer-review

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Research Portal of the TU Dresden

Prof. Dr. Ingo Röder
Person

Affiliations

Identification Numbers

Related content

Predicting treatment-free remission in chronic myeloid leukemia patients using an integrated model of tumor-immune dynamics

Impact of exposure frequency on disease burden of the common cold - A mathematical modeling perspective

Limitations of estimating antibiotic resistance using German hospital consumption data - a comprehensive computational analysis

German Medical Data Sciences 2024: Preface to the 8th Volume

Hybrid Immunity Protects against Antibody Fading after SARS-CoV-2mRNA Vaccination in Kidney Transplant Recipients, Dialysis Patients, and Medical Personnel: 9 Months Data from the Prospective, Observational Dia-Vacc Study