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SUMMARY:Sequence models in biomedicine: from predicting disease progressio
 n to genome editing outcomes - Professor Michael Krauthammer (Department o
 f Quantitative Biomedicine University of Zurich)
DTSTART;VALUE=DATE-TIME:20231201T140000Z
DTEND;VALUE=DATE-TIME:20231201T150000Z
UID:https://new.talks.ox.ac.uk/talks/id/20b57293-0c8c-4aaa-86ed-454c14a985
 b4/
DESCRIPTION:Sequential biomedical data is ubiquitous\, from time-resolved 
 data about patient encounters in the clinical realm to DNA sequences in th
 e biological domain.  The talk will review our latest work in representati
 on learning from longitudinal data\, with a particular focus on finding op
 timal representations for complex and sparse healthcare data. We show how 
 these representations are useful for comparing patient journeys and findin
 g patients with similar health outcomes. We will also venture into the fie
 ld of genome engineering\, where we build models that work on DNA sequence
 s for predicting editing outcomes for base and prime editors. \nSpeakers:\
 nProfessor Michael Krauthammer (Department of Quantitative Biomedicine Uni
 versity of Zurich)
LOCATION:Mathematical Institute (Virtual)\, Woodstock Road OX2 6GG
TZID:Europe/London
URL:https://new.talks.ox.ac.uk/talks/id/20b57293-0c8c-4aaa-86ed-454c14a985
 b4/
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DESCRIPTION:Talk:Sequence models in biomedicine: from predicting disease p
 rogression to genome editing outcomes - Professor Michael Krauthammer (Dep
 artment of Quantitative Biomedicine University of Zurich)
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