Biomedical Data Science
Research in Biomedical Data Science
Our students and faculty are pioneering new methods to analyze large-scale biomedical datasets, shedding new light on the function of living systems. Key research areas include:
We 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
We are creating high-throughput software for extracting symbolic and ontologic information from massive datasets using machine learning.
We are integrating biomedical data with high-performance computing to analyze data using modern machine learning and artificial intelligence tools.
Science as a Service
We are delivering scientific solutions integrated in software by developing novel cloud-based technologies for sharing datasets and tools.
We are building key resources to improve the quality of healthcare delivery. For example, Computational Critical Care Medicine and PhysioCloud have become models for critical care units, and MRICloud provides a high-throughput magnetic resonance image analysis technology for integration into radiological workflows.