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CATEGORIES:Artificial Intelligence Research Group Talks (Comp
 uter Laboratory)
SUMMARY:Multimodal AI in Spatial Biology - Konstantin Hemk
 er (University of Cambridge)
DTSTART;TZID=Europe/London:20250313T130000
DTEND;TZID=Europe/London:20250313T140000
UID:TALK223252AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/223252
DESCRIPTION:The increasing availability and resolution of spat
 ially resolved sequencing on human tissue samples\
 , such as Spatial Transcriptomics (ST)\, provides 
 rich and spatially resolved molecular information 
 to diagnose and analyse tumours beyond the morphol
 ogical information routinely available to patholog
 ists through Whole Slide Images. Complex morpholog
 ical and molecular spatial information becoming av
 ailable at scale requires building robust multimod
 al AI architectures that take advantage of such hi
 gh-dimensional information. \n\nThis talk will cov
 er recent advancements from our group in building 
 such models\, looking at the intersection of robus
 t multimodal learning\, learning from hierarchical
  structures\, and representation learning for spat
 ially resolved transcriptomics. \n\n"You can also 
 join us on Zoom":https://cam-ac-uk.zoom.us/j/83400
 335522?pwd=LkjYvMOvVpMbabOV1MVTm8QU6DrGN7.1
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William 
 Gates Building
CONTACT:Mateja Jamnik
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