Georgia Tech, through its partnerships with Emory University, the Centers for Disease Control and Prevention, Children's Healthcare, and other health organizations, is in a vantage position to revolutionize the healthcare industry. We plan to address:
- Electronic health care delivery including risk assessment and computational phenotyping
- Personalized genomics and precision medicine
- Predictive healthcare analytics for early diagnosis and prevention.
John McDonald, Director
The field of cancer biology is rapidly moving from an era of specialization to an era of integration. New high-throughput methods to molecularly characterize cancer cells have, in recent years, lead to tremendous strides in the development of novel diagnostics and the identification of new molecular targets for therapeutic intervention. On the computational side, recently developed algorithms customized for the analysis of genomic, proteomic, and other high volume datasets are providing a level of insight into cellular complexities never before imagined. The new center will facilitate the integration of the diversity of technological, computational, scientific, and medical expertise at Georgia Tech and partner institutions in a coordinated effort to develop improved cancer diagnostics and therapeutics.
Jim Rehg, Co-Director
Jimeng Sun, Co-Director
The Computational Health Initiative at Georgia Tech was formed to revolutionize healthcare research and delivery through computational methods and big data systems. The goals of the initiative are to 1) create and promote the adoption of standardized open-source platforms for health analytics, 2) create a health big data ecosystem unifying all members of the community, and 3) develop gold standard analytic methods and best practices for data acquisition and management in addressing the challenges and opportunities in exploiting diverse multimodal data sources for health applications.