Disease prediction models are becoming more accurate thanks to the computational methods

Computational methods can now be used to deduce from data sets as to who is at risk of developing, for example, diabetes or cancer. Laura Elo and her research group develop methods which are used to find different predictive markers for diseases. Combining clinical data with molecular data can also provide valuable information about suitable drug treatment.