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SUMMARY:Machine learning with biomedical ontologies: applications in preci
 sion health - Robert Hoehndorf
DTSTART:20220202T140000Z
DTEND:20220202T150000Z
UID:TALK163318@talks.cam.ac.uk
CONTACT:Samantha Noel
DESCRIPTION:The life sciences have invested significant resources in the d
 evelopment and application of semantic technologies to make research data 
 accessible and interlinked\, and to enable the integration and analysis of
  data. Utilizing the semantics associated with research data in data analy
 sis approaches is often challenging. Now\, novel methods are becoming avai
 lable that combine symbolic methods and statistical methods in Artificial 
 Intelligence. In my talk\, I will show how to incorporate biological backg
 round knowledge in machine learning models for identification of gene-dise
 ase associations\, genomic variants that are causative for heritable disor
 ders\, and to predict protein functions. The methods I describe are generi
 c and can be applied in other domains in which biomedical ontologies and s
 tructured knowledge bases exist.
LOCATION:CMS\, Meeting Room 15
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