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UID:news564@dbe.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20261012T111652
DTSTART;TZID=Europe/Zurich:20261105T163000
SUMMARY:Developing and Evaluating AI-Based Imaging Measures 
DESCRIPTION:AbstractMedical images contain rich information about disease\,
  but clinical assessment often reduces this to coarse and subjective score
 s. This talk will introduce our work on AI-based imaging measures across t
 herapeutic areas\, with a focus on colonoscopy video in inflammatory bowel
  disease. I will discuss how AI and expert annotations can lead to more gr
 anular characterization of disease\, together with the challenges of devel
 oping and evaluating these measures for clinical research.\\r\\nBiosketchA
 lvaro Gomariz is Technical Lead for AI in inflammatory bowel disease at Ro
 che\, where he works on the development of imaging-based methods for clini
 cal development. He holds a PhD in Computer Vision from ETH Zurich\, and h
 is research has focused broadly on extracting quantitative information fro
 m biomedical images and connecting it to biological and clinical questions
  across microscopy\, ophthalmology\, and endoscopy.
X-ALT-DESC:<p><strong>Abstract</strong><br />Medical images contain rich in
 formation about disease\, but clinical assessment often reduces this to co
 arse and subjective scores. This talk will introduce our work on AI-based 
 imaging measures across therapeutic areas\, with a focus on colonoscopy vi
 deo in inflammatory bowel disease. I will discuss how AI and expert annota
 tions can lead to more granular characterization of disease\, together wit
 h the challenges of developing and evaluating these measures for clinical 
 research.</p>\n<p><strong>Biosketch</strong><br />Alvaro Gomariz is Techni
 cal Lead for AI in inflammatory bowel disease at Roche\, where he works on
  the development of imaging-based methods for clinical development. He hol
 ds a PhD in Computer Vision from ETH Zurich\, and his research has focused
  broadly on extracting quantitative information from biomedical images and
  connecting it to biological and clinical questions across microscopy\, op
 hthalmology\, and endoscopy.</p>
DTEND;TZID=Europe/Zurich:20261105T173000
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