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DTSTART:20221106T010000
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DTSTAMP:20221209T214832Z
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DTSTART;TZID=America/Denver:20221005T090000
DTEND;TZID=America/Denver:20221005T100000
DESCRIPTION:While modern medical imaging coupled to contemporary image proc
 essing and informatics has allowed for\ndramatic expansions of diagnostic 
 information\, similar advances in procedural medicine have lagged due\nto 
 systematic barriers associated with conventional practice and clinical tra
 nslational research. The work\nin this presentation paints a different pic
 ture where surgery and intervention advancements no longer\nrepresent frag
 mented injections of technology to advance focal capabilities. Rather\, th
 e assertion in this\ntalk is that technology treatment platforms of the fu
 ture will be intentionally designed for the dual purpose\nof treatment and
  discovery. As an exemplar\, a platform technology is presented that trans
 lates complex\nbiophysical models represented by large systems of equation
 s from predictive roles to ones that are\nintegrated to guide therapeutic 
 applications such as tissue resection and locoregional intervention. The\n
 work then goes on to suggest the use of quantitative\, biomarker image-dat
 a driven forecasting as a means\nto harness phenotypic presentation of dis
 ease for improving therapy application and potentially outcome.\nThroughou
 t the work\, the common thread that ties the approaches together is the co
 ncept of biophysical\nmodels serving as a constraining scaffold for sparse
  therapeutic & surgical/interventional data which when\nof sufficient stre
 ngth enables a functional purpose greater than the sum of contributing dat
 a. This blend of\nmodel\, therapy mechanism\, phenotypic presentation\, an
 d therapeutic control as described typifies one\nrealization of these intr
 aprocedural technology platforms designed for treatment and discovery. Fin
 ally\, the\ntalk will conclude by looking at the impact on the field of bi
 omedical engineering as well as paradigms being\ninvestigated to codify tr
 aining.\n\nSpeaker(s): Dr. Michael I. Miga\, Ph.D. \, \n\nAgenda: \nPresen
 tation by Prof. Miga followed by Q&A\n\nVirtual: https://events.vtools.iee
 e.org/m/318468
LOCATION:Virtual: https://events.vtools.ieee.org/m/318468
ORGANIZER:zhaojing1120@gmail.com
SEQUENCE:7
SUMMARY:Computation-Enhanced Surgery and Intervention: An Engineering Exemp
 lar in Translation
URL;VALUE=URI:https://events.vtools.ieee.org/m/318468
X-ALT-DESC:Description: <br /><p>While modern medical imaging coupled to co
 ntemporary image processing and informatics has allowed for&nbsp\;<br />dr
 amatic expansions of diagnostic information\, similar advances in procedur
 al medicine have lagged due&nbsp\;<br />to systematic barriers associated 
 with conventional practice and clinical translational research. The work&n
 bsp\;<br />in this presentation paints a different picture where surgery a
 nd intervention advancements no longer&nbsp\;<br />represent fragmented in
 jections of technology to advance focal capabilities. Rather\, the asserti
 on in this&nbsp\;<br />talk is that technology treatment platforms of the 
 future will be intentionally designed for the dual purpose&nbsp\;<br />of 
 treatment and discovery. As an exemplar\, a platform technology is present
 ed that translates complex&nbsp\;<br />biophysical models represented by l
 arge systems of equations from predictive roles to ones that are&nbsp\;<br
  />integrated to guide therapeutic applications such as tissue resection a
 nd locoregional intervention. The&nbsp\;<br />work then goes on to suggest
  the use of quantitative\, biomarker image-data driven forecasting as a me
 ans&nbsp\;<br />to harness phenotypic presentation of disease for improvin
 g therapy application and potentially outcome.&nbsp\;<br />Throughout the 
 work\, the common thread that ties the approaches together is the concept 
 of biophysical&nbsp\;<br />models serving as a constraining scaffold for s
 parse therapeutic &amp\; surgical/interventional data which when&nbsp\;<br
  />of sufficient strength enables a functional purpose greater than the su
 m of contributing data. This blend of&nbsp\;<br />model\, therapy mechanis
 m\, phenotypic presentation\, and therapeutic control as described typifie
 s one&nbsp\;<br />realization of these intraprocedural technology platform
 s designed for treatment and discovery. Finally\, the&nbsp\;<br />talk wil
 l conclude by looking at the impact on the field of biomedical engineering
  as well as paradigms being&nbsp\;<br />investigated to codify training.</
 p><br /><br />Agenda: <br /><p>Presentation by Prof. Miga followed by Q&am
 p\;A&nbsp\;</p>
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