Biomedical Artificial Intelligence & Computation

BME/Research/Research Strengths/Biomedical Artificial Intelligence & Computation

Objective

To expedite research by simulating and investigating the behavior of complex systems using mathematics, physics and computer science.

Technologies

Develop computer models and simulations
Identify trends and health patterns
Multiscale modeling from the molecular level to whole organ scale

Applications

Drug metabolism estimation
Improvement of recovery timelines
Determination of infectious disease susceptibility
Blood flow simulation
Flow of liquid medication in human lungs

Courses Offered

BIOMEDE 487 AI in BME

Jump to

Core Faculty,Relevant Faculty Research

The Healing Power of Big Data

The University of Michigan Health system serves 2.1 million patients a year, generating a tremendous amount of data that can reveal hidden trends and health patterns. With the university’s computational resources, we can model tissue structure and function from the molecular to the whole-organ scale to better understand things like the flow of ions in cells, blood in arteries, and air in the lungs.

Michigan’s Advanced Research Computing — Technology Services external link provides U-M researchers with advanced computing resources, including:

A shared computing cluster, Flux, with more than 16,000 cores
A Hadoop cluster for data-science research
Cloud computing services
Regional and national high performance computing and network resources

Simulation could bring better treatment

A team led by BME professor James Grotberg developed the first computer model that predicts the flow of liquid medication in human lungs. The technology is providing new insight into the treatment of acute respiratory distress syndrome.