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SUMMARY:Enhanced Decision Making in Drug Discovery - Stephen Ashman\, GSK
DTSTART:20180227T130000Z
DTEND:20180227T140000Z
UID:TALK100831@talks.cam.ac.uk
CONTACT:Dr Vivien Gruar
DESCRIPTION:This project will explore the way that scientists make decisio
 ns at key points during the Antibody drug discovery process. Program teams
  generate many different types of data during the drug discovery process: 
 structure/amino acid sequence of the molecule\, affinity for target\, func
 tional potency\, mode of binding and numerous parameters describing the st
 ability and manufacturability of the molecule. Each team needs to make cho
 ices about which molecules to progress on the basis of their experience of
  which attributes predict clinical success. Whilst experienced scientists 
 make these decisions they are likely to be subject to a range of cognitive
  biases and challenged by the need to weight parameters appropriately and 
 take account of the characteristic variance of each data type.\n\nThe goal
  of the project would be to combine best practise in human decision-making
  heuristics with any notable new findings in an accessible tool that appli
 es this standard consistently whilst providing teams with powerful visuali
 sations describing the data supporting these decisions and recording the c
 riteria and evidence for them.\n
LOCATION:MR3 Centre for Mathematical Sciences
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