Refine
Year of publication
Language
- English (21) (remove)
Has Fulltext
- yes (21)
Is part of the Bibliography
- no (21)
Keywords
- Petri net (3)
- Artificial intelligence (2)
- CT (2)
- Radiomics (2)
- ACLF (1)
- Anemia (1)
- Angiography (1)
- Blood (1)
- CLIF-C ACLF score (1)
- CLIF-C ACLF-R score (1)
- Cell staining (1)
- Clustering (1)
- Cohort studies (1)
- Diagnostic markers (1)
- Exudates and transudates (1)
- Feasibility (1)
- Feasibility studies (1)
- Fourier-Motzkin algorithm (1)
- Gene expression (1)
- Genetics (1)
- Hematoxylin staining (1)
- Hepatocellular carcinoma (1)
- Histology (1)
- Hodgkin lymphoma (1)
- Image processing (1)
- In-TIPS thrombosis (1)
- Intensive care units (1)
- LTP (1)
- Lymph nodes (1)
- Lymphocytes (1)
- Machine learning (1)
- Manatee invariant (1)
- Mastoiditis (1)
- Mathematical model (1)
- Microarray (1)
- Multiparametric MRI (1)
- NF-κB pathway (1)
- PDE (1)
- Pathologists (1)
- Portal (1)
- Preclinical research (1)
- Predictive markers (1)
- Prognostic markers (1)
- Prostate cancer (1)
- Psychology (1)
- Q-modularity (1)
- Quantitative Imaging (1)
- Shunt (1)
- Signaling pathway (1)
- TIPS (1)
- Thrombosis (1)
- Transarterial chemoembolization (1)
- Transition invariant (1)
- Transjugular Intrahepatic Portosystemic Shunt (1)
- Translational research (1)
- acute-on-chronic liver failure (1)
- agent-based modeling (1)
- aging (1)
- amyloid precursor protein (1)
- artificial intelligence (1)
- community (1)
- computer vision (1)
- digital pathology (1)
- elementary mode (1)
- functional module (1)
- hippocampus (1)
- human lymph node (1)
- immune response (1)
- lymph node (1)
- maximal common transition set (1)
- mechanical ventilation (1)
- metabolic networks (1)
- minimal cut set (1)
- mitochondria (1)
- modeling (1)
- morphological filtering (1)
- ordinary differential equation (1)
- partial differential equation (1)
- presynaptic active zone (1)
- pulmonary failure (1)
- respiratory failure (1)
- shock filter (1)
- t-cluster (1)
- t-invariant (1)
- whole slide image (1)
Institute
The human immune system is determined by the functionality of the human lymph node. With the use of high-throughput techniques in clinical diagnostics, a large number of data is currently collected. The new data on the spatiotemporal organization of cells offers new possibilities to build a mathematical model of the human lymph node - a virtual lymph node. The virtual lymph node can be applied to simulate drug responses and may be used in clinical diagnosis. Here, we review mathematical models of the human lymph node from the viewpoint of cellular processes. Starting with classical methods, such as systems of differential equations, we discuss the values of different levels of abstraction and methods in the range from artificial intelligence techniques formalism.