Medical and clinical systems within a systems medicine approach is a framework in which computational analysis of an extensive variety of clinical information is carried out to improve treatment, prognosis and diagnosis of diseases, which also facilitates the way towards personalized and precision medicine [Vargas, E., et al. (2018)]. In the field of medical systems, the networks concerning interacting molecules or cells are referred to as systems, and for any systems medicine approach that examines a particular condition or problem requires that the initial step is taken to identify the relevant variables of the system, which include molecules, tissues, cell types, to name some. The subsequent step is to characterize the interactions between these variables at the physiological, molecular, cellular or neuronal level.
The ultimate aim of the systems approach is the evaluation of the behavior of the system as induced by the specific variables’ interactions. It is also critical to design the appropriate approaches so that clinical and biological data can be used for model system formation, validation and prediction of its behaviors [Apweiler, R., et al. (2018)]. Systems medicine approaches in medical and clinical realms also show promising results for predicting drug-target interactions including the novel inhibitors against a human gene which encode the alpha subunit of the potassium ion channel, for instance. Another example can be given from oncology as systems medicine and biological approaches can be applied to cancer and infectious diseases, with mathematical models being constructed for the evaluation of the way disruptions in oncogene networks might bring about neoplastic transformation and the way anti-cancer drugs can prevent such networks’ cancer progression to maximize therapeutic efficacy. Medical and clinical systems in the light of systems-based computational analyses and models resulting from advanced technologies within these approaches help us to detect the significant changes happening at the metabolic genomic, proteomic and transcriptomic levels. Such developments and processes mean that dynamic interaction networks are decoded as they have vital impacts on manipulating the clinical and medical course of a disease. All these parameters and novel developments in systems medicine, as a whole, have provided important advancements in healthcare system through enhancing the etiology diagnostic accuracy and treatment efficacy of diseases along the active and progressive process of pathways and courses. You can resort to...
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