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CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:entry-341@www.dkfz.de
DTSTAMP:20260929T162912Z
DTSTART:20250124T120000Z
DTEND:20250124T130000Z
SUMMARY: Cancer Core Europe (CCE) Lecture - A Computational Framework for P
 ersonalized Modeling of the Vascular Microenvironment to Predict Radiother
 apy Outcomes in Head-and-Neck Cancer
DESCRIPTION:This lecture explores the integration of clinical data with adv
 anced biophysical models for microcirculation\, presenting a framework tha
 t enables the creation of digital twins. These digital representations fac
 ilitate a bidirectional interaction between the model and the actual patie
 nt\, offering a valuable tool for precision medicine. By modeling the micr
 ovasculature of individual patients\, this approach allows for detailed an
 alysis of the microvascular environment and provides a platform for foreca
 sting personalized radiotherapy outcomes. Key aspects of the lecture inclu
 de: The fundamental components of a biophysical model for microcirculation
  Methods for data collection and analysis to digitally represent patient-s
 pecific microvasculature Strategies for building personalized microvascula
 r models This framework highlights the potential of merging biophysical mo
 deling with clinical data to advance patient-specific therapeutic strategi
 es. What is Cancer Core Europe (CCE)? Cancer Core Europe is a consortium o
 f seven leading cancer centres (www.cancercoreeurope.eu). CCEs members are
  driven by a strong will to reshape the cancer research model to ultimatel
 y increase the European Union’s competitiveness as a place to conduct cu
 tting-edge research that’s translated to the clinic to deliver more pers
 onalized medicine.
LOCATION:Online
URL:https://www.dkfz.de/aktuelles/veranstaltungen/detail/35-cancer-core-eur
 ope-cce-lecture-a-computational-framework-for-personalized-modeling-of-the
 -vascular-microenvironment-to-predict-radiotherapy-outcomes-in-head-and-ne
 ck-cancer/a341
CATEGORIES:Vorträge und Seminare
STATUS:CONFIRMED
SEQUENCE:1790690401
LAST-MODIFIED:20260929T140001Z
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