[What worries people with multiple sclerosis in Russia? Semantic analysis of patient messages using artificial intelligence tools].

Objective: To study the needs of patients suffering from multiple sclerosis (MS) in Russia.

Material And Methods: The technologies of Big Data analysis and intelligent processing of unstructured information (semantic analysis of natural language texts), developed by Semantic Hub were used. Semantic Hub platform scans digital environment to connect to the sources of interest and to collect data of potential interest (i.

[Efficiency of interferon therapy in patients with essential thrombocythemia or polycythemia vera].

Aim: To evaluate the efficiency of interferon (IFN) therapy in patients with essential thrombocythemia (ET) and polycythemia vera (PV).

Subjects And Methods: A total of 61 patients (41 with ET and 20 with PV) were examined. Prior to study enrolment, 44 (72%) patients with ET or PV received one or other therapy (aspirin was not taken into account).