Using computational methods and evolutionary theory to combat drug resistance

Speaker: Ville Mustonen, Professor, Organismal and Evolutionary Biology Research Programme, Department of Computer Science and Institute of Biotechnology, University of Helsinki and the Helsinki Institute for Information Technology, Finland.

Note

This biostatistics seminar is jointly organised with the Sven Furberg Seminars in Bioinformatics and Statistical Genomics

Zoom login details

Link: https://uio.zoom.us/j/63419865650

Meeting ID: 634 1986 5650

Password: 402583

Abstract

Biology is undergoing a data explosion. This creates great opportunities such as developing personalised therapies and detailed understanding of evolution. However, as computing power grows slower than ability to generate data, it is essential to develop powerful algorithms as well as theory to analyse these data. Combating drug resistance is a particularly urgent focal point to leverage both new data and methods. Cells and organisms evolve to better survive in their environments and to adapt to new challenges. Such dynamics manifest in a particularly problematic way with the evolution of drug resistance, which is increasingly recognised as a key challenge for global health. In this lecture I present our collaborative work on evolutionary theory based ideas for therapy optimisation.

Published Feb. 10, 2020 5:02 PM - Last modified May 28, 2020 9:40 AM