Health Systems creates new models for healthcare delivery through integrative interdisciplinary solutions, drawing from medicine, engineering, computing, management and public policy. Integrative Biosystems also develops and implements novel multidisciplinary and collaborative research, education, and outreach programs to transform healthcare delivery systems and lead the nation away from an ineffective, reactive, disease-focused system to achieve a cost-effective, pro-active health and wellness-focused system. Research objectives include advancing fundamental knowledge of issues central to the delivery of health care services through efficient allocation and management of health resources, and the design, development, implementation, and evaluation of integrated, patient-centered, and personalized health care delivery systems that capitalize on state-of-the-art information, communication, decision support, healthcare and biomedical technologies.

Bioinformatics and Biomedical Systems Analysis - Recent advances in molecular biology, genomics and proteomics have resulted in high-throughput technologies that generate vast amounts of data. In response, computational methods of bioinformatics are being developed to organize, mine, and interpret these data. Particular emphasis at Georgia Tech is placed on the development of probabilistic algorithms for identifying functionally important features of DNA and proteins, such as regulatory sites, mobile elements, and protein domains that were conserved throughout evolution. The bioinformatics methods are complemented with biomedical systems analyses that use a combination of experimental, mathematical, and computational methods to integrate multiple datasets. The results of this integration are models representing mathematically how cells and organisms function. These models have applications in drug development, metabolic engineering and many other areas where cells or organisms are manipulated toward a desired goal. The models also help to elucidate design and operating principles that explain why biological systems are organized and regulated in a particular fashion and not in some other fashion.

• Gene Finding
• Gene Regulation
• Protein trafficking
• Metabolic networks
• Signal Transduction
• Multi-level modeling

Research Centers & Institutes:

• Center for Bioinformatics and Computational Genomics
• Center for Robotics and Intelligent Machines
• Health Systems Institute
• Integrative Biosystems Institute