Thomas ZerjatkePerson
Person
- Institute for Medical Informatics and Biometry- Academic Staff
Affiliations
Identification Numbers
| Scopus author ID | 55361837700 |
|---|
Related content
- Research output
Continuous therapy response references for BCR::ABL1 monitoring in pediatric chronic myeloid leukemia
Volz, C., Zerjatke, T., Gottschalk, A., Semper, S., Suttorp, M., Glauche, I., Krumbholz, M., & 1 othersMetzler, M., 24 Oct 2023, In: Scientific reports. 13 (2023), 1, 10 p., 18199.Research output: Contribution to journal › Research article › Contributed › peer-review
Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions
Hoffmann, K., Pelz, A., Karg, E., Gottschalk, A., Zerjatke, T., Schuster, S., Böhme, H., & 2 othersGlauche, I. & Roeder, I., May 2023, In: PLOS digital health. 2, 5, p. e0000140 e0000140.Research output: Contribution to journal › Research article › Contributed › peer-review
Modelling of immune response in chronic myeloid leukemia patients suggests potential for treatment reduction prior to cessation
Karg, E., Baldow, C., Zerjatke, T., Clark, R. E., Roeder, I., Fassoni, A. C. & Glauche, I., 6 Dec 2022, In: Frontiers in oncology. 12, 1028871.Research output: Contribution to journal › Research article › Contributed › peer-review
A ROS-dependent mechanism promotes CDK2 phosphorylation to drive progression through S phase
Kirova, D. G., Judasova, K., Vorhauser, J., Zerjatke, T., Leung, J. K., Glauche, I. & Mansfeld, J., 25 Jul 2022, In: Developmental cell. 57, 14, p. 1712-1727.e9 26 p.Research output: Contribution to journal › Research article › Contributed › peer-review
How to predict relapse in leukemia using time series data: A comparative in silico study
Hoffmann, H., Baldow, C., Zerjatke, T., Gottschalk, A., Wagner, S., Karg, E., Niehaus, S., & 3 othersRoeder, I., Glauche, I. & Scherf, N., Nov 2021, In: PloS one. 16, 11, e0256585.Research output: Contribution to journal › Research article › Contributed › peer-review