1768 Detailed Contents
74.2 Market ..................................................................... 1330
74.3 Summary and Forecast ................................................... 1330
74.4 Further Reading .......................................................... 1331
References ........................................................................ 1331
Part H Automation in Medical and Healthcare Systems
75 Automatic Control in Systems Biology
Henry Mirsky, Jörg Stelling, Rudiyanto Gunawan, Neda Bagheri,
Stephanie R. Taylor, Eric Kwei, Jason E. Shoemaker, Francis J. Doyle III
..... 1335
75.1 Basics ...................................................................... 1335
75.1.1 Systems Biology ................................................ 1336
75.1.2 Control Research in Systems Biology ......................... 1336
75.2 Biophysical Networks .................................................... 1337
75.2.1 Timing and Rhythm: Circadian Rhythm Networks
and Oscillatory Processes ...................................... 1337
75.2.2 Apoptosis: Programmed Cell Death .......................... 1338
75.2.3 Signals in Diabetes: Insulin Signaling Pathway ............. 1339
75.3 Network Models for Structural Classification ........................... 1340
75.3.1 Hierarchical Networks ......................................... 1341
75.3.2 Boolean Networks, Petri Nets, and Associated Structures .. 1341
75.4 Dynamical Models ........................................................ 1342
75.4.1 Stochastic Systems ............................................. 1343
75.4.2 Constraints and Optimality in Modeling Metabolism ....... 1344
75.5 Network Identification ................................................... 1346
75.5.1 Data-Driven Methods ......................................... 1346
75.5.2 Linear Approximations ........................................ 1347
75.5.3 Mechanistic Models, Identifiability
and Experimental Design ..................................... 1348
75.6 Quantitative Performance Metrics ....................................... 1349
75.6.1 State-Based Sensitivity Metrics ............................... 1350
75.6.2 Phase-Based Sensitivity Metrics .............................. 1351
75.6.3 Global Versus Local Parameters ............................... 1353
75.7 Bio-inspired Control and Design ........................................ 1353
75.8 Emerging Trends .......................................................... 1354
References ........................................................................ 1354
76
Automation and Control in Biomedical Systems
Robert S. Parker .................................................................. 1361
76.1 Background and Introduction ........................................... 1361
76.1.1 Scope ........................................................... 1361
76.1.2 Data Quantity and Quality .................................... 1362
76.1.3 Preclinical Versus Clinical Study Data ........................ 1363
76.2 Theory and Tools ......................................................... 1364
76.2.1 Parameter Estimation ......................................... 1364
76.2.2 Pharmacokinetics .............................................. 1366
Detailed Cont.