Application of systems, modeling, informatics and control concepts, methodology and techniques to medicine, biology and health care. Physiological modeling, simulation, identification, experimental design, control and knowledge-based methods, including applications of system biology modeling. Modeling and control of structure and function in cellular, neuromuscular, neurosensory, metabolic, endocrine and physiological organ systems, both in healthy and diseased states. Pharmacokinetics and pharmacodynamics, drug delivery for optimal therapy, control of physiological and clinical variables in intensive care and in the management of chronic disease, rehabilitation engineering, health care delivery and human-machine interactions.
The scope of biomedical applications of modeling and control continues to expand and includes much of what is now regarded as mainstream medical/health informatics (and eHealth), as well as modeling and control approaches in relation to health care knowledge management and clinical applications of systems biology modeling. Examples of recent developments include: the provision of decision support systems for adoption within a telematic health care framework; the application of a wider range of advanced knowledge-based and statistically-based methods for the interpretation of biomedical signals (again with the prospect of their adoption within an information management and decision support context); and the use of modern multimedia information technologies, such as biomedical functional imaging, to facilitate modeling, simulation, visualization and control of complex biomedical systems. Modern biotechnology and bio informatics involving modeling and control issues are also emerging.
The TC BMS will ensure that the scope of activities continues to reflect such application.