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Chenzhe Qian. + Be useful as a education tool – Multi-level simulation – CMMB / Medical education + Assist biological researches – Prediction helps experiment.

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Presentation on theme: "Chenzhe Qian. + Be useful as a education tool – Multi-level simulation – CMMB / Medical education + Assist biological researches – Prediction helps experiment."— Presentation transcript:

1 Chenzhe Qian

2 + Be useful as a education tool – Multi-level simulation – CMMB / Medical education + Assist biological researches – Prediction helps experiment designs – Save time and life + Challenging – Complex system – Not yet completely understand by biologists

3 + Simply consider kidney as a black box + Build mathematic model – Glomerular filtration rate (GFR) describes the flow rate of filtered fluid through the kidney – Estimated creatinine clearance rate (eC Cr ) using Cockcroft-Gault formula – Estimated GFR (eGFR) using Modification of Diet in Renal Disease (MDRD) formula – Estimated GFR (eGFR) using the CKD-EPI formula

4 + Nephron + Animation – http://www.youtube.com/watch?feature=player_deta ilpage&v=glu0dzK4dbU http://www.youtube.com/watch?feature=player_deta ilpage&v=glu0dzK4dbU – http://www.biologymad.com/resources/kidney.swf http://www.biologymad.com/resources/kidney.swf

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6 + Compute concentrations of each type of molecules with equations at each subcomponent of nerphon + Wrap particle behaviors into swarm script operator + Simulate entire nerphon with particle system Advised by Sebastian

7 + Method – Start from organ level  Building math model to implement this level – Use particle system to implement sub-organ level  Visualize nerphron using particle system + Goals – Complete organ level – Complete nerphron visualization graphically, but not physically – Combine Douglas’s work to complete sub-organ level

8 + Suitable equations – Many equations out there – Most have assumptions – At different regions of nerphon need different equations + Multi-pathways – Different molecules have different pathways + Limit volume of particles – Control the particles flowing within the expected area without physics

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