1992年BJ.Zeng的系统医药学模型，涉及生物系统自组织化理论、遗传与环境相互作用和分子-细胞、器官-个体的神经-内分泌、免疫与循环调控及代谢系统稳态动力学。

以下为Biosystems期刊描述的生物系统研究：

BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.

The categories and topics listed below are examples, the editors will be happy to comment on the relevance of other topics:

Molecular Evolution
Self-organizing and self-replicating systems
Origins and evolution of the genetic mechanism

Biological Information Processing
Molecular recognition
Cellular control
Neuromolecular computing
Biological adaptability
Molecular computing technologies

Evolutionary Systems
Stochastic evolutionary algorithms
Evolutionary optimization
Simulation of genetic and ecological systems
Applications (neural nets, machine learning, robotics)

- http://www.journals.elsevier.com/biosystems/ -

意大利系统医学协会描述的dynamic stability：

The adaptive response to stress-generating stimuli from the environment (food, breathing, relationships with the ecosystem, inner dialogue, social relations) is based on physiological mechanisms of inflammatory reaction, implying both variations in the neuro-immuno-endocrine structure as well as influences on the metabolic processes of energetic production and regeneration, which in time also modify the nutritional status.

- http://www.medicinasistemica.it/index.php -