In vitro discovery of promising anti-cancer drug combinations using iterative maximisation of a therapeutic index

@article{Kashif2015InVD,
  title={In vitro discovery of promising anti-cancer drug combinations using iterative maximisation of a therapeutic index},
  author={M. Kashif and C. Andersson and S. Hassan and H. Karlsson and W. Senkowski and M. Frykn{\"a}s and P. Nygren and R. Larsson and M. Gustafsson},
  journal={Scientific Reports},
  year={2015},
  volume={5}
}
  • M. Kashif, C. Andersson, +6 authors M. Gustafsson
  • Published 2015
  • Medicine
  • Scientific Reports
  • In vitro-based search for promising anti-cancer drug combinations may provide important leads to improved cancer therapies. Currently there are no integrated computational-experimental methods specifically designed to search for combinations, maximizing a predefined therapeutic index (TI) defined in terms of appropriate model systems. Here, such a pipeline is presented allowing the search for optimal combinations among an arbitrary number of drugs while also taking experimental variability into… CONTINUE READING
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