Why is CASyM important?
Clinicians always have integrated clinical observation, empirical knowledge and information from medical tests in order to diagnose and treat patients. This is a proven and successful concept. However, the success of this approach is challenged by the steep increase in the amount of different pieces of information to integrate and the sheer size and complexity of large datasets, such as genome sequences, which we are able to produce.
Computational and mathematical analysis and modeling methods used in Systems Medicine offer a unique and effective opportunity to fill this gap. These methods open new horizons and will extend medicine´s ability to help by harnessing an enormous amount of patient and disease relevant information that is available and will become available in the future. Systems Medicine provides a systematic and tractable approach that is reproducible, scalable and evolvable, ensuring that the increasing volume of highly complex patient data will be accessible and intelligible. Systems Medicine will give clinicians a new tool that will step change the capabilities of the clinician to diagnose and treat patients faster, better and more effectively.
Thus, the novelty of Systems Medicine does not lie in the concept but in the outcomes applicable in the clinic. Just as the electronic chip did not introduce any new concepts into mathematics, it made calculations faster, scalable, more reliable and enabled many achievements such as computers that have completely changed life and society.
Success stories of Systems Medicine
Most diseases are multifactorial, involving complex network perturbations and interactions that occur across widely different scales of time and space within differing biological subsystems. Consequently, Systems Medicine aims at understanding disease as a perturbation of the complex interplay of networks.