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SUMMARY:Towards Precision in the Diagnostic Profiling of Patients: Leverag
 ing Symptom Dynamics in the Assessment and Treatment of Mental Disorders -
  Omid Ebrahimi\, University of Oxford
DTSTART:20250508T113000Z
DTEND:20250508T123000Z
UID:TALK229747@talks.cam.ac.uk
CONTACT:Oliver Knight
DESCRIPTION:Major depressive disorder (MDD) is a heterogeneous mental diso
 rder. International guidelines present overall symptom severity as the key
  dimension for clinical characterisation. However\, additional layers of h
 eterogeneity may reside within severity levels related to how symptoms int
 eract with one-another in a patient\, called symptom dynamics. We investig
 ate these individual differences by estimating the proportion of patients 
 that display differences in their symptom dynamics while sharing the same 
 diagnosis and overall symptom severity. We show that examining symptom dyn
 amics provides information about the person-specific psychopathological ex
 pression of patients beyond severity levels by revealing how symptoms aggr
 avate each other over time. These results suggest that symptom dynamics ma
 y serve as a promising new dimension for clinical characterisation. Areas 
 of opportunity are outlined for the field of precision psychiatry in uncov
 ering disorder evolution patterns (e.g.\, spontaneous recovery\; critical 
 worsening) and the identification of granular treatment effects by moving 
 toward investigations that leverage symptom dynamics as their foundation. 
 Future work aimed at investigating the cascading dynamics underlying depre
 ssion onset and maintenance using the large-scale (N > 5.5 million) CIPA S
 tudy are outlined.
LOCATION:Hybrid talk (Herchel Smith Building) and online via zoom
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