The possible role of machine learning in detection of increased cardiovascular risk patients - KSC MR Study (design).

Introduction: Currently, just a few major parameters are used for cardiovascular (CV) risk quantification to identify many of the high-risk subjects; however, they leave a lot of them with an underestimated level of CV risk which does not reflect the reality.

Material And Methods: The submitted study design of the Kosice Selective Coronarography Multiple Risk (KSC MR) Study will use computer analysis of coronary angiography results of admitted patients along with broad patients' characteristics based on questionnaires, physical findings, laboratory and many other examinations.

Results: Obtained data will undergo machine learning protocols with the aim of developing algorithms which will include all available parameters and accurately calculate the probability of coronary artery disease.

Efficacy of Tianeptine 25-50 mg in Elderly Patients With Recurrent Major Depressive Disorder: An 8-Week Placebo- and Escitalopram-Controlled Study.

Objective: The present placebo-controlled study evaluated the efficacy and safety of 8 weeks of treatment with tianeptine 25-50 mg/d in elderly patients suffering from major depressive disorder (MDD) according to DSM-IV-TR. Escitalopram 5-10 mg/d was used as an active comparator.

Methods: Elderly outpatients aged at least 65 years with a primary diagnosis of moderate to severe episode of recurrent MDD were recruited by psychiatrists in 44 clinical centers in 10 countries from October 2013 to January 2016.