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CATEGORIES:Research & Academia
DESCRIPTION:Talk by Alice Tang\, Sirota Lab\nIn-person or Zoom (link below)
 \nAbstract: Certain complex diseases\, such as Alzheimer’s Disease (AD)\, a
 re difficult to study and treat due to disease heterogeneity\, lack of prec
 ise phenotyping\, and limited understanding of molecular mechanisms underly
 ing clinical manifestations. Electronic medical records (EMR) are emerging 
 as a real world dataset with abundance of longitudinal human data across di
 agnoses\, medications\, and measurements with opportunity to derive insight
 s without predefined selection criteria or limitations in scope. Recent dev
 elopments of integrative heterogenous knowledge databases that combine know
 ledge across omics relationships provide a means to further identify associ
 ated molecular hypotheses underlying complex clinical phenotypes. We perfor
 med deep phenotyping and association analysis to characterize Alzheimer’s D
 isease and sex differences in the EMR against a control cohort\, and identi
 fied differential comorbidities\, medication use\, and median lab values. E
 xtending this work to apply machine learning\, we trained predictive models
  for AD onset and identified prioritized genes via knowledge networks and g
 enetic colocalization analysis. Our findings suggest that there are relatio
 nships between musculoskeletal disorders among females with AD and neurolog
 ical or behavioral disorders among males with AD\, with potential interacti
 ons across aging body systems. By leveraging clinical data to identify hypo
 theses for disease\, we can further make steps towards better understanding
  molecular mechanisms in disease and improving precision medicine approache
 s.
DTEND:20231117T230000Z
DTSTAMP:20260416T202815Z
DTSTART:20231117T210000Z
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SUMMARY:Leveraging Clinical Data for Phenotyping and Predictive Modelling o
 f Alzheimers Disease
UID:tag:localist.com\,2008:EventInstance_44820306791287
URL:https://calendar.ucsf.edu/event/leveraging_clinical_data_for_phenotypin
 g_and_predictive_modelling_of_alzheimers_disease
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