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Next Generation Biobanking

next generation biobanking

Is your biobank ready for the demands of biomarker research? As biomarker-based clinical research becomes commonplace there is an expectation that biobanks drive investigational research, which poses challenges for conventional biobanking software.

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Personalized medicine is driving key changes in the industry

the vision of personalized medicine

The true era of personalized medicine, while perhaps decades away, is impacting the pharmaceutical and healthcare industries today. Most notably, this vision is impacting the landscape of how clinical research and trials are conducted. Translational research, biomarker-based studies and careful patient segmentation in clinical trials, have led to successes such as new biomarker based drugs; drugs with companion diagnostics and highly targeted therapies. Fundamental to biomarker research is access to quality biospecimens that have been extensively annotated with clinical, molecular and patient data. While many organizations have invested heavily in the IT infrastructure of biospecimen management, or biobanking, such systems are facing challenges to effectively drive investigative biomarker-based research.

 

 

 

 

 


ctitical biobanking challenges facing traditional biobanks

The traditional biobank is challenged

Traditional biobanking faces a number of challenges as a result of the pressures of biomarker based research.

Increased security and compliance mandates – the distributed model of clinical research requires control of potential privacy and regulatory issues for both trial and future-use samples. In addition, as more clinical trials depend on specimen biomarker data, greater scrutiny is placed upon stringent adherence to compliance standards.

Increased externalization and collaboration – studies are now performed within a distributed research “ecosystem” of vendors, collaborators and partners.

Increased expectation that Biobanks drive the science – biobanks must shift from a focus on primarily operational and internal sample inventory management activities to driving scientific insight. Linkage of biospecimen with clinical and molecular data is now critical.


next generation biobanking bridge to biomarker research

Overcoming the Challenges – Next Generation Biobanking

At the core of Next Generation Biobanking is comprehensive sample tracking and logistics, consent tracking, sample planning and a host of sample related workflows. However unlike conventional biobanking, Next Generation Biobanking is characterized by four key attributes to ensure that biospecimen management in your organization is ready for the demands of both current and future biomarker-led development and research.

Enhanced security and compliance - Fine-grained access and security controls that extend to all data linked to a biospecimen, to ensure compliance with patient consent and regulatory guidelines
Support for externalized collaborative studies - Providing the critical information infrastructure to leverage a distributed research ecosystem and its network of collaborators, partners and vendors.
Harmonization of biospecimens with clinical and molecular information - This requires tight linkage of the biospecimen with the plethora of molecular and clinical data collected during the course of a study or clinical trial
Generation of Scientific Insights - Requires powerful tools in the hands of the researcher to facilitate data exploration and hypotheses driven research without programming or IT support.


Labmatrix, web accessible information management

Trust your biobank to the leaders in Next Generation Biobanking software

For researchers involved in biomarker-based clinical and translational research, who need to safely and effectively conduct externalized, science-driven collaborative studies, our Next Generation Biobanking software platform harmonizes biospecimen data with clinical and molecular data in a collaborative environment that emphasizes scientific insights, while ensuring security and compliance.

At the core of the Next Generation Biobanking software solution is our Labmatrix platform. Labmatrix, goes beyond the sample-centric workflows of conventional biobanking software by integrating patient, clinical, specimen, genetic and molecular assay data, to deliver a holistic, unified view of their biobank and its specimens. Multi-level user access control ensures that all collaborators can work effectively while ensuring relevant privacy and regulatory compliance is maintained.

Qiagram, collaborative, scientific intelligence tool

Driving scientific insights is one of the key benefits of Next generation biobanking software. Mining the wealth of data from the study, searching for the patterns within, and discovering knowledge, requires tools that augment the user’s science. Qiagram our award winning collaborative scientific intelligence tool puts powerful ad hoc query, search and knowledge discovery tools in the hands of the individual researcher. Users “draw” their questions, interactively creating complex questions, without programming, IT help or struggling with complicated query builders. Answers are presented in configurable visualizations and dashboard widgets that can be shared to generate cross-study, cross-site and cross-user knowledge. In contrast to most software, Qiagram puts the researcher at the center of a holistic view of their biobank ready with the tools to discover scientific insights.


Ready to take your biobank into the Next generation?

To learn more about Next Generation Biobanking and how you can start liberating the knowledge in your biospecimens, connect with us today. Already have biobanking software? Learn how you can move to the Next Generation.