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SUMMARY:Multimodal AI in Spatial Biology - Konstantin Hemker (University o
 f Cambridge)
DTSTART:20250313T130000Z
DTEND:20250313T140000Z
UID:TALK223252@talks.cam.ac.uk
CONTACT:Mateja Jamnik
DESCRIPTION:The increasing availability and resolution of spatially resolv
 ed sequencing on human tissue samples\, such as Spatial Transcriptomics (S
 T)\, provides rich and spatially resolved molecular information to diagnos
 e and analyse tumours beyond the morphological information routinely avail
 able to pathologists through Whole Slide Images. Complex morphological and
  molecular spatial information becoming available at scale requires buildi
 ng robust multimodal AI architectures that take advantage of such high-dim
 ensional information. \n\nThis talk will cover recent advancements from ou
 r group in building such models\, looking at the intersection of robust mu
 ltimodal learning\, learning from hierarchical structures\, and representa
 tion learning for spatially resolved transcriptomics. \n\n"You can also jo
 in us on Zoom":https://cam-ac-uk.zoom.us/j/83400335522?pwd=LkjYvMOvVpMbabO
 V1MVTm8QU6DrGN7.1
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Building
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