BEGIN:VCALENDAR VERSION:2.0 PRODID:-//swoogo.com//NONSGML kigkonsult.se iCalcreator 2.41.90// CALSCALE:GREGORIAN UID:31366535-6232-4362-b330-663065303665 BEGIN:VEVENT UID:928ce85eb444db679e4a25b9bf8858018ef0630e@swoogo.com DTSTAMP:20261012T094327Z DESCRIPTION:Colorectal cancer is the world’s second deadliest cancer\, and cases keep rising. Early detection can cut mortality by 90%\, but current diagnostic methods are invasive for patients and demanding for clinicians. The question is: how can we do better? Advances in robotics\, AI\, and au tomation promise faster\, more accurate\, and less invasive detection\, bu t before deployment\, we need safe environments to test devices and train algorithms and clinicians. That is where digital twins come in. By creatin g realistic virtual models of the colon\, we can accelerate innovation\, d e-risk development\, and open new frontiers for medical robotics. This ses sion will showcase how digital twins and robotics can transform colorectal cancer detection and how industry and research can work together to tackl e this global challenge. DTSTART:20251106T140000Z DTEND:20251106T143000Z LAST-MODIFIED:20261012T094327Z LOCATION: SEQUENCE:0 STATUS:CONFIRMED SUMMARY:Revolutionizing Cancer Detection with AI\, Robotics\, and Digital T wins TRANSP:OPAQUE X-ALT-DESC;FMTTYPE=text/html:

Colorectal cancer is the world’s second dea dliest cancer\, and cases keep rising. Early detection can cut mortality b y 90%\, but current diagnostic methods are invasive for patients and deman ding for clinicians. The question is: how can we do better? Advances in ro botics\, AI\, and automation promise faster\, more accurate\, and less inv asive detection\, but before deployment\, we need safe environments to tes t devices and train algorithms and clinicians. That is where digital twins come in. By creating realistic virtual models of the colon\, we can accel erate innovation\, de-risk development\, and open new frontiers for medica l robotics. This session will showcase how digital twins and robotics can transform colorectal cancer detection and how industry and research can wo rk together to tackle this global challenge.

BEGIN:VALARM UID:31656235-6537-4563-b862-306662636338 ACTION:DISPLAY DESCRIPTION:Colorectal cancer is the world’s second deadliest cancer\, and cases keep rising. Early detection can cut mortality by 90%\, but current diagnostic methods are invasive for patients and demanding for clinicians. The question is: how can we do better? Advances in robotics\, AI\, and au tomation promise faster\, more accurate\, and less invasive detection\, bu t before deployment\, we need safe environments to test devices and train algorithms and clinicians. That is where digital twins come in. By creatin g realistic virtual models of the colon\, we can accelerate innovation\, d e-risk development\, and open new frontiers for medical robotics. This ses sion will showcase how digital twins and robotics can transform colorectal cancer detection and how industry and research can work together to tackl e this global challenge. TRIGGER:-PT15M END:VALARM END:VEVENT END:VCALENDAR