BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Talks.cam//talks.cam.ac.uk// X-WR-CALNAME:Talks.cam BEGIN:VEVENT SUMMARY:Keynote speaker - Computational Models of Cardiac Function – Clo sing the Gaps between Virtual and Physical Reality - Gernot Plank (Medizi nische Universität Graz) DTSTART:20240604T080000Z DTEND:20240604T090000Z UID:TALK214543@talks.cam.ac.uk DESCRIPTION:ABSTRACTComputational models of cardiac function are increasin gly considered in industry for designing medical \;device therapies\, and\, in the clinic for diagnosis and therapy planning to tailor patient-s pecific \;therapies. A fundamental concern hampering a broader adoptio n is the lack of evidence of a close \;correspondence between the phys iology of a virtual heart and physical reality. Creating such evidencerema ins challenging as biophysically detailed virtual hearts are characterized by high dimensional \;parameter vectors that must be identified from limited low dimensional\, noisy and uncertain \;observations. Further\ , even for carefully calibrated models\, their ability to provide patient- specific \;predictions of the cardiac response to therapies based on t heir mechanistic nature is assumed\, but not \;proven. Finally\, gener ating detailed mechanistic models requires complex computationally costly& nbsp\;workflows\, requiring operators with significant skill levels. This raises concerns regarding scalability to \;applications to larger vari able patient cohorts\, the validity of insights produced by error prone&nb sp\;workflows\, as well as the reproducibility of in silico studies. These concerns render advanced industrial \;and clinical applications often unviable from both a regulatory as well as an economic perspective.Here\, we report on methodological advances addressing these issues. Specificall y\, we present methods \;for i) the automated generation of anatomical ly and structurally accurate models of whole heart and \;torso from me dical images\, with suitable reference frames to support automation of par ameter \;sweeps\; ii) full physics real-time enabled whole heart elect rophysiology simulations and associated \;electrograms and ECGs\; iii) a calibration technique for whole heart electrophysiology using noninvas ive ECG measurements\; iv) model calibration techniques for cardiac device therapies replicating \;device measurement applicable for optimizing device designs in industry and for personalized therapy \;planning in the clinic\; and v) a computational approach for guiding ventricular tachy cardia ablation \;therapies based on electrogram and ECG matching. LOCATION:Seminar Room 1\, Newton Institute END:VEVENT END:VCALENDAR