BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//talks.cam.ac.uk//v3//EN
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:19700329T010000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:19701025T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Digital twins of the retina as a model for cancer 
 - Simon Walker-Samuel (University College London)
DTSTART;TZID=Europe/London:20250919T113000
DTEND;TZID=Europe/London:20250919T115000
UID:TALK235210AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/235210
DESCRIPTION:Digital twins can offer personalised models of hum
 an tissue by combining imaging data with advanced 
 computational methods. In this talk\, I will descr
 ibe our efforts to build digital twins of the reti
 na\, capturing the structure and function of its v
 ascular networks and how these change in disease. 
 By using deep generative learning\, we can persona
 lise these models to individual patients\, even wh
 en imaging data are limited\, creating simulations
  that reflect patient-specific anatomy and physiol
 ogy. The retina is particularly valuable as a test
 bed as pathological angiogenesis in diabetic retin
 opathy shares many features with the abnormal bloo
 d vessel growth seen in cancer. This makes retinal
  digital twins a powerful prototype for understand
 ing cancer angiogenesis and for developing new app
 roaches to predicting treatment response.
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:
END:VEVENT
END:VCALENDAR