BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20221129T230335Z UID:8E3A2FA7-A94D-4A57-B359-3C763500F6E9 DTSTART;TZID=America/New_York:20221129T163000 DTEND;TZID=America/New_York:20221129T173000 DESCRIPTION:Join the IEEE Toronto Instrumentation & Measurement – Robotic s & Automation Joint Chapter for a talk on The Role of Computational Model ing in Future Diagnostic\, Monitoring\, and Predictive Tools for Cardiovas cular Diseases \, presented by Dr. Zahra K. Motamed.\n\nTuesday\, November 29\, 2022 @ 4:30 – 5:30 PM\n\nAbstract: The main functions of the cardi ovascular system are to transport\, control and maintain blood flow in the entire body. Abnormal hemodynamics greatly alters this tranquil picture\, leading to initiation and progression of disease. These abnormalities are often manifested by disturbed fluid dynamics (local hemodynamics)\, and i n many cases by an increase in the heart workload (global hemodynamics). H emodynamics quantification can be greatly useful for accurate and early di agnosis\, but we still lack proper diagnostic methods for many cardiovascu lar diseases because the hemodynamics analysis methods that can be used as engines of new diagnostic tools are not well developed yet. Furthermore\, as most interventions intend to recover the healthy condition\, the abili ty to monitor and predict hemodynamics following particular interventions can have significant impacts on saving lives. Despite remarkable advances in medical imaging\, imaging on its own is not predictive. Predictive meth ods are rare. They are extensions of diagnostic methods\, enabling predict ion of effects of interventions\, allowing timely and personalized interve ntions\, and helping critical clinical decision making about life-threaten ing risks based on quantitative data.\n\nDr. Motamed and her team has deve loped innovative non-invasive image-based patient-specific diagnostic\, mo nitoring and predictive computational-mechanics framework for patients wit h cardiovascular disease. Currently\, none of the above metrics can be obt ained noninvasively in patients in clinics and when invasive procedures ar e undertaken\, the collected metrics cannot be by any means as complete as the results that Motamed lab’s framework provides.\n\nSpeaker(s): Zahra K. Motamed\, PhD \, \n\nVirtual: https://events.vtools.ieee.org/m/330836 LOCATION:Virtual: https://events.vtools.ieee.org/m/330836 ORGANIZER:s.sedghizadeh.ca@ieee.ca SEQUENCE:10 SUMMARY:The Critical Role of Computational Modeling in Future Diagnostic\, Monitoring\, and Predictive Tools for Cardiovascular Diseases URL;VALUE=URI:https://events.vtools.ieee.org/m/330836 X-ALT-DESC:Description: <br /><p class="Default">Join the IEEE Toronto Inst rumentation &amp\; Measurement &ndash\; Robotics &amp\; Automation Joint C hapter for a talk on <strong>The Role of Computational Modeling in Future Diagnostic\, Monitoring\, and Predictive Tools for Cardiovascular Diseases </strong> \, presented by <strong>Dr. Zahra K. Motamed</strong>.</p>\n<p c lass="Default">&nbsp\;</p>\n<p class="Default"><span style="color: #3598db \; font-size: 14pt\;"><strong>Tuesday\, November 29\, 2022 @ 4:30 &ndash\; 5:30 PM</strong></span></p>\n<p><strong>Abstract:</strong> The main funct ions of the cardiovascular system are to transport\, control and maintain blood flow in the entire body. Abnormal hemodynamics greatly alters this t ranquil picture\, leading to initiation and progression of disease. These abnormalities are often manifested by disturbed fluid dynamics (local hemo dynamics)\, and in many cases by an increase in the heart workload (global hemodynamics). Hemodynamics quantification can be greatly useful for accu rate and early diagnosis\, but we still lack proper diagnostic methods for many cardiovascular diseases because the hemodynamics analysis methods th at can be used as engines of new diagnostic tools are not well developed y et. Furthermore\, as most interventions intend to recover the healthy cond ition\, the ability to monitor and predict hemodynamics following particul ar interventions can have significant impacts on saving lives. Despite rem arkable advances in medical imaging\, imaging on its own is not predictive . Predictive methods are rare. They are extensions of diagnostic methods\, enabling prediction of effects of interventions\, allowing timely and per sonalized interventions\, and helping critical clinical decision making ab out life-threatening risks based on quantitative data.</p>\n<p><strong>Dr. Motamed</strong> and her team has developed innovative non-invasive image -based patient-specific diagnostic\, monitoring and predictive computation al-mechanics framework for patients with cardiovascular disease. <em>Curre ntly\, none of the above metrics can be obtained noninvasively in patients in clinics and when invasive procedures are undertaken\, the collected me trics cannot be by any means as complete as the results that </em>Motamed lab&rsquo\;s framework<em> provides.</em></p> END:VEVENT END:VCALENDAR