Bio & Health Informatics Group

Welcome to the Bio & Health Informatics Group of KEDRI!

The Bio & Health Informatics Group is developing new methods and systems for biological and health data analysis, modelling, prediction and understanding.

The Lab is working on several projects, including:

SNN techniques are used to model and analyse static and dynamic transcriptomic and metabolomics data by means of knowledge extraction from a gene interaction network.

SNN-based Personalised Modelling is an advanced data analytic that offers improved personal outcome prediction, personalisation of treatment and understanding through identifying the most predictive factors for a person.

SNN-based Personalised Modelling for prediction of risk of stroke using static vector-based data and dynamic environmental time series.

Personalised modelling is concerned with the creation of Individual model from the available data to help estimating an unknown outcome for an individual.