Surface Molecular Markers of Cancer Stem Cells: Computation Analysis of Full-Text Scientific Articles.

The data on cancer stem cell surface molecular markers of 27 most common cancer diseases were analyzed using natural language processing and data mining techniques. As a source, 8933 full-text open-access English-language scientific articles available on the Internet were used. Text mining was based on searching for three entities within one sentence, namely a tumor name, a phrase "cancer stem cells" or its synonym, and a name of differentiation cluster molecule. As a result, a list of surface molecular markers was formed that included markers most frequently mentioned in the context of certain tumor diseases and used in studies of human and animal tumor cells. Based on similarity of the associated markers, the tumors were divided into five groups.

[Risk management of a patient on the basis of remote health monitoring: current situation and prospects].

Review is dedicated to the problem of remote monitoring of health status. Existing approaches to the organization of an outdoor monitoring of a patient using telemedicine technologies are reviewed and analyzed. A new approach to risk management of a patient which meets the requirements of pediatric hospital is provided.