Biomathematische Modellierung von Therapiewirkungen bei Lymphomerkrankungen - Ein Beitrag zur Medizinischen Systembiologie
Export 
BiBTeXProjects: Genetical Statistics and Systems Biology
Publication type: Journal article
Journal: Habilitation. Universität Leipzig (kein Review)
Human Diseases: No Human Disease specified
Citation: Habilitation. Universität Leipzig (kein Review)
Date Published: 2012
URL: http://www.qucosa.de/fileadmin/data/qucosa/documents/10141/habil_scholz_pflicht.pdf
Registered Mode: imported from a bibtex file
Export PNG
Download
Submitter
Views: 1179
Created: 14th Sep 2020 at 13:35
Last updated: 7th Dec 2021 at 17:58
TagsThis item has not yet been tagged.
AttributionsNone
Related items
The group is interested in omic-level studies including the genome, methylome, transcriptome, and metabolome of the general population as well as of various diseases including cardiovascular diseases, pneumonia, sepsis, obesity, and brain cancers. Additionally, we aim at transfering results of biomathematical model simulations into clinical practice e.g. by haematopoietic growth-factor opimization during cytotoxic chemotherapy and optimization of EPO applications in chronic kidney disease.
The ...
Programme: This Project is not associated with a Programme
Public web page: http://www.imise.uni-leipzig.de/en/Groups/GenStat/
Start date: 1st Jan 2013
https://orcid.org/0000-0002-5307-6936
Projects: LIFE Heart, LIFE - Leipzig Research Center for Civilization Diseases, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, e:Med, Genetical Statistics and Systems Biology, Task Force COVID-19 Leipzig, NFDI4Health
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
Markus Scholz Scientific Speaker Institution Institut für Medizinische Informatik, Statistik und Epidemiologie Universität Leipzig Härtelstraße 16-18 04107 Leipzig
