SymbAIose computational framework

As machine learning is often considered as a black box and developers often apply a different pipelines with different parameter settings or models, HORAIZON introduces a novel framework in order to simplify and generalise the approach across multiple tasks. We have developed an efficient system which can be used to analyse all kinds of datasets with different types of machine learning models. Our software framework can be easily used with a generic configuration file, indicating the type of model, data processing, or a learning task to perform.

SymbAIose platform can output various interactive visualisations of the results, including both for the model performance itself and for the distribution of the selected biomarkers. We deliver to our customers integrated solution that can run as a stand alone computational system or a web based client interface (connected to HORAIZON cloud ecosystem) allowing access to state-of-the-art AI technology in a simple and efficient manner.