Background The treatment of depression in children and adolescents is a substantial public
health challenge. This study examined artificial intelligence tools for the prediction of early …

In this paper, we propose an efficient multi-stage algorithm for non-adaptive Group Testing
(GT) with general correlated prior statistics. The proposed solution can be applied to any …

This chapter aims to review the machine learning algorithms and models applied for
metabolic networks modeling. Metabolic models include structured repositories of …

In order to combat the spread of infectious diseases, scientists from a combination of fields
have started to develop mathematical models to represent these diseases. With computer …

Background: The HIV virus carries projection of significant global population with specific
estimations of the mathematical results of evolutionary methods which was presented in …