Computational Biomedicine Overview

What is Computational Biomedicine?

As biomedicine increasingly becomes an information-intensive discipline, the application of computational methods is not only indispensable to the management, understanding, and presentation of biologic data of all types, but also is interwoven into the fabric of the field as a whole. CBM, broadly defined, is the intersection of the computational and biomedical sciences.

An Atlas of Computational Biomedicine

Understanding biomedical systems requires the integration of information from the level of molecules and genes to the level of organismic behavior. At each of these levels there has been an explosion of information generated.

Computational science provides a unifying framework allowing for a principled understanding of the underlying mechanisms both within and across levels.

Grand Challenges in Computational Biomedicine

Besides each individual technical challenge, which partially defines the field, one challenge faced by the field is development of graduate training programs for CBM itself. Many of those currently in the field of CBM arrived by way of a convoluted path of career changes and retraining. It is now crucial to establish the training programs that will enable truly multidisciplinary education and emphasize solid formal foundations for this emerging area.

For a list of CBM Specialization: Broad Areas of CBM Specialization.

Primary Computational Biomedicine Faculty

For BioSketch, please click on the faculty name.

• Ananth Annapragada, PhD
• Stephan Birmanns, PhD
  
• Claudio Cavasotto, PhD
• Vittorio Cristini, PhD
  
• M Sriram Iyengar, PhD
• Jack W Smith, MD, PhD
• Hongbin Wang, PhD