About the European Association of Systems Medicine
The European Association of Systems Medicine e.V. (EASyM) is a charitable association open to everyone with an interest in personalised medicine and systems medicine. The concept of personalised medicine, or rather P4 medicine (predictive, personalised, preventive, participatory medicine), requires not just the acquisition but also the processing of large amounts of personal data. There are too many factors and interactions playing a role in the progression of complex diseases such as cancer, cardiovascular, inflammatory or metabolic diseases to get any meaningful results out of the raw data. Systems Medicine builds on the integration and analysis of complex data sets through mathematical algorithm and computational modelling.
Systems Medicine aims at redefining our understanding and classification of diseases allowing for preventing their occurrence and curing patients by giving the best treatment to the right person at the right time. This will be achieved by supporting clinical medicine, applying mathematical algorithms and computational models on multi-level clinical, environmental and molecular data obtained from diseased and healthy citizens.
EASyM’s mission statement
It is EASyMs mission to foster Systems Medicine approaches in medicine and clinical and translational research. It aims to do this by:
- Bringing together all relevant stakeholders in society, including clinicians, researchers, medical and patient organizations, industry, funders & policy makers by its two-yearly conference, while fostering an open exchange on ethics, privacy, and scientific responsibility in Systems Medicine approaches.
- Promoting awareness about Systems Medicine and its benefits for clinicians and scientists by its affiliated journal (Systems Medicine), online- and hands on training courses, professional and public education by establishing an online discussion platform for its stakeholders.
- Define the standards for data protection and accessibility, harmonisation, analysis and interpretation, of big data sets from clinical care and translational research by recommendation and guideline papers (e.g. for validation of biomarkers & multi-omics data, systems medicine study design, molecular stratification & classification).
- Foster the implementation of systems medicine approaches and data derived thereof for clinician and patient decision support systems and applications of clinical systems medicine in the real world.
- Sustain the use and implementation of human and artificial intelligence to enable the development of systems medicine applications and empower citizens to use them for their health and wellbeing.