Three Algorithms Inspired by Data from the Life Sciences

Time: 13:00 - 14:00

Venue: Room LF17, The Kilburn Building, Oxford Road

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Alan Tucker, Senior Lecturer at Brunel University will be discussing how the analysis of real-world data from health and the environment can shape novel algorithms.

Particular topics of discourse will include:

  • Discussion relating to research on modelling clinical data.
  • The collection of longitudinal data and how this creates challenges for diagnosis and the modelling of disease progression.
  • How cross-sectional studies offer additional useful information that can be used to model disease diversity within a population but lack valuable temporal information.
  • The importance of inferring models that generalise well to new independent data and how this can sometimes lead to new challenges, where the same variables can represent subtly different phenomena. Some examples in ecology and genomics will be described.