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Entelos’ PhysioLab technology was adapted from the fields of aerospace engineering, medical
decision analysis, and computer science to address problems facing pharmaceutical R&D. The
technology has been in development for over 10 years and is protected by multiple patents.
Entelos PhysioLab platforms are developed using a top-down approach that synthesizes quantitative
data from thousands of peer-reviewed papers into a single contextual framework, thereby providing a
better understanding of human physiology in both health and disease. The models are used to simulat
novel therapeutic strategies, new experimental approaches, and clinical trials, all with the aim of
predicting downstream human efficacy.
Each PhysioLab system represents dynamic whole-organism physiology, and contains the following
features:
- A comprehensive, graphical disease map showing key pieces of the relevant biology and
their linkages to other parts of the model
- Mathematical equations (systems of differential equations) that quantitatively
characterize the dynamic relationships between components over time
- An extensive reference database of scientific literature including information from
public sources and in some cases proprietary data provided by pharmaceutical partners
- A powerful simulation engine that allows researchers to conduct “what if” experiments
to test new intervention strategies in different patient types
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