Core activity: Big Data analytics in life sciences

CBRC aims at solving the methodological and practical challenges linked to extracting useful information from Big Data in Biomedicine and Biotechnology. The center focuses on machine learning and high-performance computing for efficient knowledge-, data- and text-mining. Computational approaches are integrated with experimental approaches for data generation and validation. Applications are in human health and Biotechnology.

​​Scope

• Design novel, integrated computational and experimental methods, resources, models and tools for use in targeted human health and biotechnology research.
• Leverage our skills and resources to extract targeted relevant information from biomedical data through Big Data methods and AI analysis. 
• Engage with industrial partners in biotechnology development and transfer.
• Advance bioscience in the Kingdom and educate high profile specialists in our multi- and inter-disciplinary environments. 
  

Vision

CBRC aims to become a world-class regional driver in advancement in human health and biotechnology research for the benefit of society and the environment

Mission

• Design novel, integrated computational and experimental methods, resources, models, and tools for use in targeted human health research.
  
• Leverage our skills and resources to extract targeted relevant information from biomedical data through Big Data methods and analysis. 
• Engage with industrial partners in technology development and transfer.
• Advance bioscience in the Kingdom and train high profile specialists in our multi- and inter-disciplinary environment.