Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles
OverviewThe central objective of HaematoOpt project is to demonstrate that recently developed dynamic mathematical models of normal and leukemic hematopoiesis can be used to practically impact clinical decision- making
Programme: This Project is not associated with a Programme
LHA-ID: 7RRNQ9WC7J-9
Funding codes:- BMBF
Public web page: https://haematoopt.de/
Human Diseases: Non-hodgkin lymphoma
Leipzig Health Atlas PALs: Markus Scholz
Project Coordinators: No Project coordinators for this Project
Project created: 8th May 2019
Related items
Projects: Leipzig Health Atlas, LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Head and Neck Group, Onto-Med Research Group, LIFE Heart, Molecular mechanisms in malignant lymphoma, German Lymphoma Alliance (GLA), Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, German Consortium for Hereditary Breast and Ovarian Cancer, German Consortium for Hereditary Non-Polyposis Colorectal Cancer, MMML-MYC-SYS, Natural Language Processing for Clinical Research, Genetical Statistics and Systems Biology, German Competence Network Sepsis (SepNet), LIFE Child, Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome
Institutions: Institute for Medical Informatics, Statistics and Epidemiology
Projects: LIFE Heart, LIFE- Leipzig Research Center for Civilization Diseases, Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, Genetical Statistics and Systems Biology
Institutions: Institute for Medical Informatics, Statistics and Epidemiology
Markus Scholz
Scientific Speaker Institution
Institut für Medizinische Informatik, Statistik und Epidemiologie
Universität Leipzig
Härtelstraße 16-18
04107 Leipzig
Implementation of recently developed dynamic mathematical models of normal and leukemic hematopoiesis to practically impact clinical decision- making.
Fitting available individual patients information, prediction of next-cycle thrombopenia caused by CHOEP treatment based on the individual fits of the preceeding treatment cycles, changing next-cycle relative dosing, posponement of the next cycle, changing follow-up period, visualization of data and simulation
Creator: René Hänsel
Contributor: René Hänsel
Model type: Not specified
Model format: R package
Environment: Not specified
Abstract (Expand)
Authors: Y. Kheifetz, Markus Scholz, Markus Löffler
Date Published: 9th Jun 2017
Journal: PAGE. Abstracts of the Annual Meeting of the Population Approach Group in Europe.
Human Diseases: Not specified
Abstract (Expand)
Authors: Y. Kheifetz, Markus Scholz
Date Published: 7th Mar 2019
Journal: PLoS Comput Biol
Human Diseases: Not specified
Abstract (Expand)
Authors: Markus Scholz, A. Gross, Markus Löffler
Date Published: 21st May 2010
Journal: J Theor Biol
Human Diseases: Not specified
