Name
Abstract | ||
|---|---|---|
The use of new technology and mathematics to study the systems of nature is one of the most significant scientific trends of the century. Driven by the need for more precise scientific understanding, advances in automated measurement are providing rich new sources of biological and physiological data. These data provide information to create mathematical models of increasing sophistication and realism—models that can emulate biological and physiological systems with sufficient accuracy to advance our understanding of living systems and disease mechanisms. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.arcontrol.2008.02.001 | Annual Reviews in Control |
Keywords | Field | DocType |
Biology,Systems biology,Control systems,Systems dynamics,Estimation,System identification,Mathematical biology,Computational physiology | Data science,Mathematical and theoretical biology,Systems theory,Living systems,Computer science,Systems biology,Control engineering,System dynamics,Artificial intelligence,Control system,Sophistication | Journal |
Volume | Issue | ISSN |
32 | 1 | 1367-5788 |
Citations | PageRank | References |
5 | 0.55 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Wellstead | 1 | 14 | 3.26 |
| Eric Bullinger | 2 | 48 | 8.20 |
| Dimitrios Kalamatianos | 3 | 24 | 2.80 |
| Oliver Mason | 4 | 107 | 12.58 |
| Mark Verwoerd | 5 | 72 | 8.06 |