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SUMMARY:From Multi-omic Data to Whole Brain Modelling in Brain Disorders -
  Professor Jianfeng Feng\, Warwick University\, Fudan University
DTSTART:20250123T123000Z
DTEND:20250123T133000Z
UID:TALK227017@talks.cam.ac.uk
CONTACT:Oliver Knight
DESCRIPTION:AI and proteomics are recently believed as facing a revolution
 ary phase and could fundamentally change our understanding of diseases (br
 ain disorders). Using one of the typical mental disorders and AD as exampl
 es\, we explored the etiology of the disease with genomic\, proteomic and 
 other type of omic data and novel AI algorithms. The discoveries subsequen
 tly enabled us to subtype various diseases and then developed different tr
 eatment strategies in TMS and drug therapy. Some further developments aimi
 ng to integrate micro-\, meso- and macroscopic data results are discussed.
  Furthermore\, equipped with the knowledge we had about the brain\, we dev
 eloped a model of the whole human brain at the neuronal level (digital twi
 n brain\, DTB): 86B neurons and 100T synapses (parameters). Examples on ap
 plying DTB to medical applications are included.
LOCATION:Hybrid talk (Herchel Smith Building) and online via zoom
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