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Every day, modern medicine improves.

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But did you know that in over 50% of all medical cases,

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the chosen treatment does not benefit the individual patient?

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The main reason is our fragmented approach to a patient’s system.

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Clinical guidelines are based on non-existent ‘avarage patients’

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that are usually very different from the patient in the consulting room.

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For patients with multiple illnesses,

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treatment guidelines may even be contradictory.

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On top of that,

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there is still much we don’t understand about 
the way diseases start and develop.

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Systems Medicine is about to change all that.

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System Medicine is a new approach to healthcare 
that draws from the principles of system biology.

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According to these principles,

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every patient has a unique make-up, 
 so to say an “individual barcode”. 

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In order to offer the right treatment,

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we need to read this barcode

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by breaking it down into individual components,

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such as proteins, genes and tissue composition 

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being visualised by images from scans.

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For each of these components clinicians already measure 
and gather a huge amount of data.

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In systems medicine,

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the clinicians work together in a multidisciplinary team

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with life scientists

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modelers

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computer scientists 

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and data management specialists.

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to combine these data into a dynamic model.

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The model is than finetuned through an ongoing cycle 
of testing and feeding additional data into it. 

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Eventually these models will evolve 
into a working simulation of the patient’s system

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on a sub-population level.

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Wich can be used to predict
the development of diseases,

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as well as treatment outcomes in
different scenarios.

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The potential benefits of systems medicine are profound.

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In time, this methodology can: 
Track disease pathways on various levels.

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From the human body down to organs 
and to sub-cellular level;

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Achieve a detailed understanding of human physiology

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based on human data and human models 
instead of animal data and models.

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And deliver personalised treatment for patients 
opening the path to personalised medicine.

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Much work is still needed to make systems medicine 
achieve its potential.

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Life scientists, modelers and clinicians,

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need to step beyond the borders of their field 

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and engage in multidisciplinary collaboration.

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To develop models as well as protocols 
for collecting and managing data.

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ERACoSysMed stimulates this development 
and enables Systems Medicine research,

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by encouragging and funding healthcare professionals 
and scientists 

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to move forward in multidisciplinary collaboration 
towards personalised medicine.

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Now and in the future.