Systems Medicine builds on the integration and analysis of complex datasets through mathematical algorithms and computational modeling. Multi-factorial diseases involve complex interactions within a patient’s body that are additionally influenced by external factors. Mathematical models and computer simulations have been successfully developed in biological research to achieve a better understanding of complex biological interactions. 

The application of this approach in a clinical setting represents a powerful approach to improve:

• Best practices of poly-pharmacology treatment in the elderly population
• Integration of personalized genomics, proteomics and clinical phenotyping
• Identification of biomarkers for early diagnosis, prognosis and personalized therapies.