Data Intensive Biomedical Science
Computational scientists are working at the interface between computer science, mathematics, and biomedical engineering to advance computing technology to address broad questions in personalized medicine.
Machine Learning and Data Science
Researchers are creating high-throughput software for extracting symbolic and ontologic information from massive data sets using machine learning.
Biomedical data integrated with high performance computing allows for the analysis of several terabytes of data involved with modern machine learning and artifcial intelligence tools.
Science as a Service
Science as a service is evolving into a viable practice for delivering scientific solutions integrated in software. Several investigators at the Center for Imaging Science and the Institute for Computational Medicine are delivering cloud-based technology solutions.
Computational Critical Care Medicine and PhysioCloud have become models for critical care units, which are often the most costly units in a hospital with the highest mortality rate. MRICloud provides a high throughput magnetic resonance image analysis technology for integration into radiological workflows.