Automated scientific assistant for Cancer and Chemoprevention
Kakas, Antonis C.
Neophytou, Christiana M.
Constantinou, Andreas I.
Source9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2013
Google Scholar check
MetadataShow full item record
Logical modeling of cell biological phenomena has the potential to facilitate both the understanding of the mechanisms that underly the phenomena as well as the process of experimentation undertaken by the biologist. Starting from the general hypotheses that Scientific Modeling is inextricably linked to abductive reasoning, we aim to develop a general logical model of cell signalling and to provide an automated scientific assistant for the biologists to help them in thinking about their experimental results and the possible further investigation of the phenomena of interest. We present a first such system, called ApoCelSys, that provides an automated analysis of experimental results and support to a biology laboratory that is studying Cancer and Chemoprevention. © IFIP International Federation for Information Processing 2013.