DISQOVER identifies biomarkers associated with specific diseases

How do you go about searching for biomarkers?  If you’re in the life sciences industry, the chances are that you have lots of options at your disposal.  More than a hundred peer-reviewed journals, databases, and books are dedicated to biomarker research.  However, finding all of these resources on your own could take quite some time, not to mention that they may not be relevant to your specific area of interest.  The good news is that there’s an easier way: using a knowledge platform such as DISQOVER can help you cut down on the amount of time and energy you spend looking through available biomarkers.

DISQOVER directly targets these challenges.  The knowledge platform links scientific databases and structures retrieved biomarker information per disease area, type of biomarker, and development phase, among many other features.  As a result, DISQOVER allows users to quickly gain insight into biomarkers associated with specific diseases, their correlation with molecular pathways, and how relevant they are for your research.  In only a few clicks.

DISQOVER provides insight into biomarker relevance











Researchers can evaluate the relevance of biomarkers in specific diseases in DISQOVER by looking at

  • The number of times a specific biomarker has been studied and used.  The higher this number, the greater the chances are that the biomarker is accepted in the research field as a reliable factor.
  • The clinical study phase and type of study in which the biomarker was used may help design your clinical trial.
  • Information on the type of biomarker, including gene, protein, cell type, etc., provides insights into how the biomarker can be detected and the feasibility of using this method in standard practice.

As such, DISQOVER provides the opportunity to retrieve in a fast way a screening of potential biomarker candidates, tailor-made to desired requirements.

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Using biomarkers in life science research shortens clinical trial duration, allows for the selection of patient populations that are more likely to benefit from treatments, and typically simplifies assessment of the outcomes, as biomarkers are often easier measured than actual changes in the disease course