One of the main axes of current research consists of enriching the diagnostic categories by integrating biomarkers, in order to identify more homogeneous clinical forms. The idea is to identify subgroups of patients whose pathologies are associated with specific markers. This would not only allow a more precise diagnosis, but also a better understanding of the mechanisms and causes of each disorder.
Today, the treatments available are very general and often remain similar from one pathology to another. The objective is therefore to use all the tools of modern research — genomics, proteomics, metabolomics, immunology, brain imaging, electrophysiology, artificial intelligence, etc. — to isolate these homogeneous subgroups, sometimes even common to several categorical entities resulting from current classifications, and better understand their mechanisms. By targeting our treatments in this way, we could adapt care in a more effective and personalized way.
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