An Overview of Systems Medicine systemsmedicine medicine data medicaldata
Advancements in systems medicineApplication of systems medicine in drug development This interdisciplinary approach has become an integral part of personalized or precision medicine.
The ultimate goal of a systems medicine approach is to evaluate the system's behavior induced by the interactions between specific variables. To better understand a specific problem or condition, it is vital to design suitable approaches that can utilize clinical and biological data to create and validate a model system and predict its behavior. Various statistical, mathematical, and computational tools are used to analyze and interpret the data generated by systems medicine approaches.
Mechanistic models are the central hub of systems medicine that utilize clinical data of individual patients to provide personalized predictions of outcomes in different situations. These predictions are made by systematically characterizing the systems of individual patients and, thus, cannot be generalized. These computational models can also predict the impact of environmental or lifestyle factors on disease prognosis and treatment efficacy.
Systems-based computational analysis has been conducted on pre-existing experimental data of specific molecular interactions to identify key molecular drivers of disease development and progression. Application of systems medicine in drug development One of the major challenges in drug discovery and development is drug-induced toxicities. In this area, systems medicine approaches make useful contributions by predicting drug-induced adverse events during the early phase of drug development. Such approaches help identify the factors that are collectively responsible for drug-related adversities.
Drug repositioning or drug repurposing is another area of drug research wherein systems medicine has provided useful insights. Drug repositioning is a process of reanalyzing clinically approved or rejected drugs to use in different diseases.
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