Ontological model of multi-agent Smart-system for predicting drug properties based on modified algorithms of artificial immune systems.

Background: Currently, due to the huge progress in the field of information technologies and computer equipment, it is important to use modern approaches of artificial intelligence in order to process extensive chemical information at creating new drugs with desired properties. The interdisciplinary of research creates additional difficulties in creating new drugs. Currently, there are no universal algorithms and software for predicting the "structure-property" dependence of drug compounds that can take into account the needs of specialists in this field.

[GENDER DIFFERENCES OF THE HEMOSTASIS POSTAGRESSIVE EARLY RESPONSE IN ACUTE NECROTIZING PANCREATITIS].

The study was performed in a group of 25 patients with acute necrotizing pancreatitis (mean age 46.2 ± 6.74 years).