### Abstract

The application of mathematical models to reflect the organization and activity of biological systems can be viewed as a continuum of purpose. The far left of the continuum is solely the prediction of biological parameter values, wherein an understanding of the underlying biological processes is irrelevant to the purpose. At the far right of the continuum are mathematical models, the purposes of which are a precise understanding of those biological processes. No models in present use fall at either end of the continuum. Without question, however, the emphasis in regards to purpose has been on prediction, e.g., clinical trial simulation and empirical disease progression modeling. Clearly the model that ultimately incorporates a universal understanding of biological organization will also precisely predict biological events, giving the continuum the logical form of a tautology. Currently that goal lies at an immeasurable distance. Nonetheless, the motive here is to urge movement in the direction of that goal. The distance traveled toward understanding naturally depends upon the nature of the scientific question posed with respect to comprehending and/or predicting a particular disease process. A move toward mathematical models implies a move away from static empirical modeling and toward models that focus on systems biology, wherein modeling entails the systematic study of the complex pattern of organization inherent in biological systems.

Original language | English (US) |
---|---|

Pages (from-to) | 904-908 |

Number of pages | 5 |

Journal | Clinical Pharmacology and Therapeutics |

Volume | 83 |

Issue number | 6 |

DOIs | |

State | Published - Jun 2008 |

Externally published | Yes |

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### ASJC Scopus subject areas

- Pharmacology

### Cite this

*Clinical Pharmacology and Therapeutics*,

*83*(6), 904-908. https://doi.org/10.1038/clpt.2008.53

**Mathematics for understanding disease.** / Bies, Robert; Gastonguay, M. R.; Schwartz, S. L.

Research output: Contribution to journal › Article

*Clinical Pharmacology and Therapeutics*, vol. 83, no. 6, pp. 904-908. https://doi.org/10.1038/clpt.2008.53

}

TY - JOUR

T1 - Mathematics for understanding disease

AU - Bies, Robert

AU - Gastonguay, M. R.

AU - Schwartz, S. L.

PY - 2008/6

Y1 - 2008/6

N2 - The application of mathematical models to reflect the organization and activity of biological systems can be viewed as a continuum of purpose. The far left of the continuum is solely the prediction of biological parameter values, wherein an understanding of the underlying biological processes is irrelevant to the purpose. At the far right of the continuum are mathematical models, the purposes of which are a precise understanding of those biological processes. No models in present use fall at either end of the continuum. Without question, however, the emphasis in regards to purpose has been on prediction, e.g., clinical trial simulation and empirical disease progression modeling. Clearly the model that ultimately incorporates a universal understanding of biological organization will also precisely predict biological events, giving the continuum the logical form of a tautology. Currently that goal lies at an immeasurable distance. Nonetheless, the motive here is to urge movement in the direction of that goal. The distance traveled toward understanding naturally depends upon the nature of the scientific question posed with respect to comprehending and/or predicting a particular disease process. A move toward mathematical models implies a move away from static empirical modeling and toward models that focus on systems biology, wherein modeling entails the systematic study of the complex pattern of organization inherent in biological systems.

AB - The application of mathematical models to reflect the organization and activity of biological systems can be viewed as a continuum of purpose. The far left of the continuum is solely the prediction of biological parameter values, wherein an understanding of the underlying biological processes is irrelevant to the purpose. At the far right of the continuum are mathematical models, the purposes of which are a precise understanding of those biological processes. No models in present use fall at either end of the continuum. Without question, however, the emphasis in regards to purpose has been on prediction, e.g., clinical trial simulation and empirical disease progression modeling. Clearly the model that ultimately incorporates a universal understanding of biological organization will also precisely predict biological events, giving the continuum the logical form of a tautology. Currently that goal lies at an immeasurable distance. Nonetheless, the motive here is to urge movement in the direction of that goal. The distance traveled toward understanding naturally depends upon the nature of the scientific question posed with respect to comprehending and/or predicting a particular disease process. A move toward mathematical models implies a move away from static empirical modeling and toward models that focus on systems biology, wherein modeling entails the systematic study of the complex pattern of organization inherent in biological systems.

UR - http://www.scopus.com/inward/record.url?scp=43949084750&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=43949084750&partnerID=8YFLogxK

U2 - 10.1038/clpt.2008.53

DO - 10.1038/clpt.2008.53

M3 - Article

C2 - 18388872

AN - SCOPUS:43949084750

VL - 83

SP - 904

EP - 908

JO - Clinical Pharmacology and Therapeutics

JF - Clinical Pharmacology and Therapeutics

SN - 0009-9236

IS - 6

ER -