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The 2019 mathematical oncology roadmap
Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology,
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …
Harmonizing semantic annotations for computational models in biology
Life science researchers use computational models to articulate and test hypotheses about
the behavior of biological systems. Semantic annotation is a critical component for …
the behavior of biological systems. Semantic annotation is a critical component for …
High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow
Background Cancer is a complex, multiscale dynamical system, with interactions between
tumor cells and non-cancerous host systems. Therapies act on this combined cancer-host …
tumor cells and non-cancerous host systems. Therapies act on this combined cancer-host …
PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks
In systems biology, mathematical models and simulations play a crucial role in
understanding complex biological systems. Different modelling frameworks are employed …
understanding complex biological systems. Different modelling frameworks are employed …
Impact of tumor-parenchyma biomechanics on liver metastatic progression: a multi-model approach
Colorectal cancer and other cancers often metastasize to the liver in later stages of the
disease, contributing significantly to patient death. While the biomechanical properties of the …
disease, contributing significantly to patient death. While the biomechanical properties of the …
Sharing and reusing cell image data
The rapid growth in content and complexity of cell image data creates an opportunity for
synergy between experimental and computational scientists. Sharing microscopy data …
synergy between experimental and computational scientists. Sharing microscopy data …
[PDF][PDF] Can computers conceive the complexity of cancer to cure it? Using artificial intelligence technology in cancer modelling and drug discovery
Drug discovery and the development of safe and effective therapeutics is an intricate
procedure, further complicated in the context of cancer research by the inherent …
procedure, further complicated in the context of cancer research by the inherent …
Prelude to a Compositional Systems Biology
Composition is a powerful principle for systems biology, focused on the interfaces,
interconnections, and orchestration of distributed processes. Whereas most systems biology …
interconnections, and orchestration of distributed processes. Whereas most systems biology …
MAGPIE: Simplifying access and execution of computational models in the life sciences
Over the past decades, quantitative methods linking theory and observation became
increasingly important in many areas of life science. Subsequently, a large number of …
increasingly important in many areas of life science. Subsequently, a large number of …
Open source tools and standardized data in cancer systems biology
To reach the full potential of multicellular systems biology, mathematical and computational
modelers must pool their efforts to share and curate biophysical measurements, create and …
modelers must pool their efforts to share and curate biophysical measurements, create and …