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Posts Tagged ‘cancer’

Arthur Lander on modeling normal versus rampant cell growth

How do the basics of what goes on in our tissues during normal development give us a better understanding of what happens when things go awry in the malignant disease state? In this clip, Arthur Lander of the University of California, Irvine, speaks about how biological systems use control and regulation to achieve or maintain desired outcomes in growth and development. Controlled growth is not only essential for biological development, but also plays an important role in preventing the kinds of out-of-control growth we see in certain cancers.  Lander’s group builds mathematical models that mimic real tissues in order to understand normal growth control. Using such models, his lab is determining how morphogenesis is achieved by turning growth on and off in certain desired locations via regulated feedback between growing cells and those that produce tissues.

Watch the video to learn more!

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Using math to analyze movement of cells, organisms, and disease

Philadelphia, PA—A few recent SIAM journal papers you should know about:

  Traveling waves model tumor invasion



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ICIAM video: math modeling in disease dynamics

At ICIAM 2011, speakers from varying backgrounds, including Professors Patrick Nelson, Kerry Landman, and Avner Friedman, and graduate student Irina Kareva, outlined the many aspects of mathematical modeling in disease progression and dynamics, emphasizing the connections between mathematics and medical science.

Watch a video that highlights the applications of math modeling in diabetes, cancer and wound healing:

You can also read about Avner Friedman’s other research—on math modeling for cancer treatments here.

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Mathematical Models for Breast Cancer Detection with Microwave Tomography



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