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SUMMARY:Predicting outcome for psychotic disorders\, using brain connectiv
 ity and transcribed speech data - Sarah Morgan
DTSTART:20210427T121500Z
DTEND:20210427T131500Z
UID:TALK155446@talks.cam.ac.uk
CONTACT:Mateja Jamnik
DESCRIPTION:"Join us on Zoom":https://zoom.us/j/99166955895?pwd=SzI0M3pMVE
 kvNmw3Q0dqNDVRalZvdz09\n\nPsychotic disorders affect approximately 1% of t
 he population (Perälä et al.\, 2007) and are among the most disabling he
 alth conditions. Currently\, these disorders are diagnosed solely through 
 clinical assessments of patients’ symptoms\, which can be subjective\, w
 ith no automated\, quantitative metrics available to clinicians. The biolo
 gical mechanisms underlying these disorders are also poorly understood. I 
 will discuss work using both transcribed speech and brain connectivity dat
 a to tackle these challenges\, drawing on approaches from Network Science\
 , NLP and Machine Learning.
LOCATION:Zoom
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