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UID:DSC-22663
DTSTART;TZID=Europe/Berlin:20260303T110000
SEQUENCE:1772519874
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20260303T120000
URL:https://www.dresden-science-calendar.de/calendar/en/detail/22663
LOCATION:MPI-CBG\, Pfotenhauerstraße 10801307 Dresden
SUMMARY:Brbic: Generative AI for Unlocking the Complexity of Cells
CLASS:PUBLIC
DESCRIPTION:Speaker: Maria Brbic\nInstitute of Speaker: Swiss Federal Insti
 tute of Technology\, Lausanne\nTopics:\n\n Location:\n  Name: MPI-CBG (MPI
 -CBG CBG Large Auditorium)\n  Street: Pfotenhauerstraße 108\n  City: 0130
 7 Dresden\n  Phone: +49 351 210-0\n  Fax: +49 351 210-2000\nDescription: W
 e are witnessing an AI revolution. At the heart of this revolution are gen
 erative AI models that\, powered by advanced architectures and large datas
 ets\, are transforming AI across a variety of disciplines. But how can AI 
 facilitate and eventually enable discoveries in life sciences? How can it 
 bring us closer to understanding biology\, the functions of our cells and 
 relationships across different molecular layers? In this talk\, I will int
 roduce generative AI methods designed to uncover relationships across diff
 erent omics layers. I will demonstrate how these approaches enable the rea
 ssembly of tissues from dissociated single cells and how they  can help us
  to understand the relationship between nuclear morphology and transcripto
 mic profiles. I will further demonstrate how biomedical challenges can hel
 p to drive new fundamental AI advances. Finally\, I will discuss challenge
 s and limitations of existing methods for accurately predicting cellular r
 esponse to perturbations.
DTSTAMP:20261016T035532Z
CREATED:20260213T051023Z
LAST-MODIFIED:20260303T063754Z
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