Difference between revisions of "Computational Medicine"
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[https://www-m6.ma.tum.de/Lehrstuhl/ForschungsProjekte TU Munich - M6 - Mathematical Modeling] | [https://www-m6.ma.tum.de/Lehrstuhl/ForschungsProjekte TU Munich - M6 - Mathematical Modeling] | ||
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+ | [https://www.multiscalebiology.org.uk/ UK Multi-scale Biology Network] | ||
=== Some interesting papers === | === Some interesting papers === | ||
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[http://www.compucell3d.org/ CompuCell3D - Virtual Tissue in-silico simulation] | [http://www.compucell3d.org/ CompuCell3D - Virtual Tissue in-silico simulation] | ||
− | [morpheus.gitlab.io Morpheus - A modeling and simulation environment for the study of multi-scale and multicellular systems] | + | [https://morpheus.gitlab.io Morpheus - A modeling and simulation environment for the study of multi-scale and multicellular systems] |
[https://sites.google.com/site/premertoolbox/ Parallel Reverse Engineering with Mutual information & Entropy Reduction] | [https://sites.google.com/site/premertoolbox/ Parallel Reverse Engineering with Mutual information & Entropy Reduction] |
Revision as of 01:21, 15 December 2018
There is no consistent definition of //computational medicine// yet. So I will come up with my own general definition for now: Computational medicine is the application of computing methods to model, simulate and visualize medical processes in a virtual environment.
//Computational Medicine// is commonly divided into four areas. For now I take the definition by JHU to clarify what Computational Medicine covers.
- Computational Molecular Medicine (pharmacogenomics, metagenomics, ...)
- Computational Physiology (disease process models, pharmacokinectic/pharmatcodynamic models, ...)
- Computational Anatomy (imaging, implantable devices, ...)
- Computational Healthcare (epidemiology, medical apps, ... )
For details look into the following paper: Computational Medicine - Translating Models to Clinical Care
Contents
Propsed Focus
- Dynamics of affective disorders (cellular, tissue, organ, psychical, social)
- Tissue healing processes after severve trauma (cellular, tissue, organ, organ system)
- Multi-scale tumor dynamics (molecular, cellular, tissue, organ)
- Computational surgery with focus on neuro and trauma surgery (tissue, organ, organ system, organism)
- Modeling techniques for physiological pathophysiological processes
- Foundational algorithms of tissue formation
Journals
https://www.hindawi.com/journals/cmmm/contents/
http://journal.frontiersin.org/journal/all/section/computational-physiology-and-medicine
Research Groups and Projects
JHU Institute for Computational Medicine
Mathcancer / Macklin Lab, Indiana University
Zürich Computational Medicine Research Group
TU Dresden - Medical Systems Biology
DZKF - Computational Patient Models
NYU Institute for Computational Medicine
Weierstrass Institut Berlin - Quantitative Biomedicine
TU Munich - M6 - Mathematical Modeling
UK Multi-scale Biology Network
Some interesting papers
Grand Challanges in Computational Physiology and Medicine
Simulation and Optimization of Fracture Healing
Modeling the Dynamics of Disease States in Depression
Modeling Tumor Vasculature : Molecular, Cellular, and Tissue Level Aspects and Implications
Cardiac electromechanical models: from cell to organ
Modeling and Simulation of the Immune System as a Self-Regulating Network
Relevant Groups, Projects and Methods
CompuCell3D - Virtual Tissue in-silico simulation
Parallel Reverse Engineering with Mutual information & Entropy Reduction
Predictive Cancer Pathway Modelling
Tusscher Group, Unviersity of Utrecht
Hermsen Group, University of Utrecht
HHU, AG Computational Cell Biology
BioCAE: A New Strategy of Complex Biological Systems for Biofabrication of Tissues and Organs
Computational Systems Biology - From Molecular Mechanisms to Disease
PhysioNet - Resource for physiological signals
SpaceSys - Spatio-Temporal Dynamics in Systems Biology
[https://cfaed.tu-dresden.de/biological-systems Center for Advancing Electronics Dresden - Biological Systems]