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The International Global Biobank Week is scheduled to take place in Stockholm, September 13-15 (find more information here: http://globalbiobankweek.org/). With thousands of delegates, this re-occurring event brings together researchers, clinicians and bioinformaticians to discuss the latest trends in this intriguing field. SAP is honored to be one of the sponsors at this year’s event, so if you are on site, please join us in our booth, to learn more about the SAP technologies that support many organizations in Healthcare and Life Sciences and that also support Biobanking activities.

Biobanking has become more and more important over the last decennia, as medical researchers have begun to realize that the collection of tissues and the related data can have a big impact on patient outcomes. The number of people affected by cancer is steadily increasing, which is both caused by, but also leads to, more people being offered the chance of increased longevity. The underlying reasons for this are not just the advances in the creation of drugs and treatments, but are also due to progress in the field of translational medicine (a discipline in biomedical research that aims to expedite the discovery of new diagnostic tools and treatments by using a multi-disciplinary, highly collaborative “bench-to-bedside” approach). The creation of biobanks and the right practices to build, maintain, document and mine the related information are highly useful for translational medicine. Biobanks thus have an big impact in the field of cancer but also in many other indications.

As already became clear during last year’s 2016 Global Biobank Week in Vienna, biobanking is going through a transition: whereas the technologies to store biomedical specimens is already well advanced, the interpretation of the associated data is becoming vital. This is basically a data integration and Big Data analytics challenge: information from many disparate sources needs to be connected, and hypotheses around this information must be created. And naturally the hypotheses should be testable in real-time, so that research can move forward swiftly.

How can this work? This will be illustrated on site by CBMed, an SAP partner, who are focusing on mining highly diverse biomedical data for biomarker research.

Meet SAP onsite in boot #35 and CBmed in boot #34. Make your personal appointment e.g. through here: @clesucr

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