The specificities brought about by Systems Medicine involve the use of dedicated mathematical, bioinformatic and statistical tools that are necessary to address properly the critical issues of integrating across multiple scales, the dynamics of disease processes and treatment efficacy, as well as their modulation by genetic, epigenetic, lifestyle determinants of the person, and environmental influences.
These tools further allow scaling up to population studies. Thus, clinical needs are the driving force of Systems Medicine, with the following main areas of impact:
- Personalized medicine (4P medicine*), especially with regard to approaches to disease prevention and personalized therapies
- Pharmaceutical drug/vaccine development, production, delivery and safety, especially with regard to the identification of proper patient subgroups where Systems Medicine-based develop mental therapeutics might best and quickly succeed
- Discovery of effective diagnostics and biomarkers, and their multidimensional combination to better define the prognostic of a given disease in a given patient, and to improve the prediction of the most effective treatment schedule
- Rational design of combinatorial therapies, with special considerations of dosing and chronobiological administration patterns
- Reduction of healthcare costs due to enhanced prevention, better patient stratification, and tailored therapies, as well as the applications of Systems Medicine concepts to the management of chronic disease patients at home, using telemedicine tools (e-health)