Biomedical Artificial Intelligence & Computation

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

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

What do we do?

  • Develop computer models and simulations
  • Research data and identify trends and health patterns
  • Model tissue structure and function from the molecular level to whole organ scale to better understand things like the flow of ions in cells, blood in arteries and air in lungs

Applications

  • Drug metabolism estimation
  • Improvement of recovery timelines
  • Determination of infectious disease susceptibility
  • Blood flow simulation

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.

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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

Associated Core BME Faculty

Relevant Research from BME Faculty