ArticleMathematical biosciences and engineering : MBE2020
Generating patient-specific virtual tumor populations with reaction-diffusion models and molecular imaging data.
Article in Mathematical biosciences and engineering : MBE, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Solving the Evidence Interpretability Crisis in Health Technology Assessment: A Role for Mechanistic Models?Frontiers in medical technology · 2022Article
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Abstract
The use of mathematical tumor growth models coupled to noisy imaging data has been suggested as a possible component in the push towards precision medicine. We discuss the generation of population and patient-specific virtual populations in this context, providing in silico experiments to demonstrate how intra- and inter-patient heterogeneity can be estimated by applying rigorous statistical procedures to noisy molecular imaging data, and how the noise properties of such data can be analyzed to estimate uncertainties in predicted patient outcomes.
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