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SUMMARY:Integrative multilevel modular approach to modeling the cardiac ph
 ysiome - Bassingthwaighte\, J (Washington)
DTSTART:20090724T083000Z
DTEND:20090724T091500Z
UID:TALK19183@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:The Physiome is the quantitative description of the functional
  behavior of the physiological state of an individual of a species. Person
 alized medicine will depend on a combination of a generalized representati
 on of a patient augmented by patient-specific information. Predictive medi
 cine depends on knowing the quantitative relationships between variables a
 nd the effects of therapeutic interventions. Integrative models of genetic
 \, cellular and physiological systems are necessarily multiscalar and hier
 archical. Following the precepts of Claude Bernard\, one uses an integrati
 ve viewpoint\, or model\, to reconcile contradictions and maximize descrip
 tive and biophysical\, biochemical accuracy. Practicality is facilitated b
 y a modular approach to quantitative multiscale model construction\, for i
 t allows the coordination of expertise from different fields\, encompassin
 g the specific expertise in specific modules while bringing diverse module
 s together into an integrated system defining the whole. Individual module
 s can be simplified to gain computational speed and facilitating their use
  as mind expanders\, but then their range of coverage of the physiological
  conditions is compromised and the robustness of the model system reduced.
  To retain predictability in the face of needs to simplify computation\, i
 t is important to design model systems to allow automated substitution of 
 one module for another as the real system goes through changes of state in
  an intensive care unit or through long term responses to therapy\, aging\
 , or progressive disease. Such flexibility in integrative modeling is a di
 fficult challenge\, but is needed to bring physiomic understanding to prac
 tical utility from the current stage of being diagnostically helpful to a 
 stage of providing therapeutic advice or control. Practical models and the
  JSim simulation analysis platform are available at www.physiome.org. (Sup
 ported by NIH grants RO1-HL73598 and T!5-HL088516 and NSF 0506477).
LOCATION:Seminar Room 1\, Newton Institute
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