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SUMMARY:Accelerating drug discovery with the power of microscopy &amp\; AI
  - Anne E Carpenter\, PhD\, Senior Director of the Imaging Platform\, Inst
 itute Scientist\, Broad Institute 
DTSTART:20220228T140000Z
DTEND:20220228T150000Z
UID:TALK167104@talks.cam.ac.uk
CONTACT:Kate Davenport
DESCRIPTION:Cell images contain a vast amount of quantifiable information 
 about the status of the cell: for example\, whether it is diseased\, wheth
 er it is responding to a drug treatment\, or whether a pathway has been di
 srupted by a genetic mutation. We aim to go beyond measuring individual ce
 ll phenotypes that biologists already know are relevant to a particular di
 sease. Instead\, in a strategy called image-based profiling\, hundreds of 
 features of cells (or other biological samples\, such as tissues or whole 
 organisms) are extracted from images using advanced computer vision techni
 ques\, including deep learning\, using whatever stains are present in the 
 experiment\, even label-free imaging. Just like transcriptional profiling\
 , the similarities and differences in the patterns of extracted features r
 eveal connections among diseases\, drugs\, and genes. \n\nWe are harvestin
 g similarities in image-based profiles to identify\, at a single-cell leve
 l\, how diseases\, drugs\, and genes affect cells\, which can uncover smal
 l molecules’ mechanism of action\, discover gene functions\, predict ass
 ay outcomes\, discover disease-associated phenotypes\, identify the functi
 onal impact of disease-associated alleles\, and find novel therapeutic can
 didates. As part of the JUMP-Cell Painting Consortium we are aiming to pro
 duce the world’s largest public Cell Painting gene/compound image resour
 ce\, with 140\,000 perturbations in five replicates. Pooled image-based pr
 ofiling is also in development. With these new data\, we hope to implement
  drug discovery-accelerating applications at scale.\n\n
LOCATION:https://zoom.us/j/94056313546?pwd=N1dYVFR1b0FwNmk0eGlxeDd1OVY1QT0
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