ASSIST facilitates the research for cervical cancer through a system that virtually unifies multiple patient record repositories, physically located in different medical centres or hospitals.

Innovative, knowledge-intensive semantic modelling, fuzzy inferencing and data mining techniques are being developed to this end.

ASSIST’s inference engine translates medical concepts into syntactic values that legacy systems may perceive and support the process of evaluating medical hypotheses and contacting association studies.