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SUMMARY:Understanding\, predicting and controlling stochastic evolution in
  cancer (and other systems) - Dr Robert Noble (City St George's\, Universi
 ty of London)
DTSTART;VALUE=DATE-TIME:20250930T110000
DTEND;VALUE=DATE-TIME:20250930T120000
UID:https://talks.ox.ac.uk/talks/id/37ea6ac5-a60a-46a3-bb49-7c5758c4b71a/
DESCRIPTION:Understanding the nature of tumour evolution promises to enabl
 e more accurate prognostic methods and more effective treatment strategies
 . I will use three examples to illustrate how the analysis of stochastic p
 rocesses can aid this goal by bridging the gap between ODE/PDE models and 
 agent-based simulations. First\, I will show how surprisingly simple mathe
 matical expressions can be derived to explain why selective sweeps (the sp
 read of beneficial mutations through an entire population) are rare except
  when tumours are relatively very small. Next\, I will explain how studyin
 g tree generating processes and tree shape indices can improve model selec
 tion and clinical forecasting methods. Finally\, I will present an applica
 tion of stochastic processes to improving cancer cure rates by minimizing 
 the probability of evolutionary rescue. Although all this work is motivate
 d by questions in cancer research\, the methods and results are readily ap
 plicable to other biological systems such as bacteria and invasive species
 .\nSpeakers:\nDr Robert Noble (City St George's\, University of London)
LOCATION:Biology South Parks Road (Large Lecture Theatre\, Biology South P
 arks Road (former Plants Sciences) building\, OX1 3RB)\, South Parks Road 
 OX1 3RB
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/37ea6ac5-a60a-46a3-bb49-7c5758c4b71a/
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DESCRIPTION:Talk:Understanding\, predicting and controlling stochastic evo
 lution in cancer (and other systems) - Dr Robert Noble (City St George's\,
  University of London)
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