New educational technologies prove to be capable of solving many problems in medical training. Students do not see e-learning as replacing traditional instructor-led training but as a complement to it, forming part of a blended-learning strategy. Innovations in e-learning technologies point toward a revolution in education, allowing learning to be individualized (adaptive learning), enhancing learners' interactions with others (collaborative learning), and transforming the role of the teacher. The integration of e-learning into medical education can catalyze the shift toward applying adult learning theory, where educators will no longer serve mainly as the distributors of content, but will become more involved as facilitators of learning and assessors of competency. Still, their use in medical schools is being hampered by certain factors. This survey is a look at how it is possible to effectively use e-learning in medical education and what steps need to be made in that direction.

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Objective. To determine the clinical and metabolic changes in children born from mothers with gestational diabetes mellitus and to predict perinatal injury of the central nervous system (CNS), taking into account the level of maternal hyperglycemia.Material and methods. The period of early postnatal adaptation was analyzed in 258 full-term infants, who were divided into two groups, depending on the glucose level in the mother’s venous blood during pregnancy: Group 1: 5,1–5,6 mmol/L, Group 2: 5,7–7,0 mmol/L.Results. Based on clinical, functional and laboratory markers (electrolyte balance and carbohydrate metabolism in the blood of a newborn) there was established a correlation between the severity of maternal hyperglycemia and the severity of neonatal disorders. In Group II infants born from mothers with more severe hyperglycemia are more likely to have a respiratory distress syndrome and ischemic-hypoxic injury of the central nervous system in combination with excess birth weight which significantly complicates postnatal adaptation.Conclusion. The concentration of neuron-specific enolase of 4,9 ng/ml in the fetal amniotic fluid is an antenatal marker of perinatal damage to the central nervous system in a newborn.

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Aim. To develop a tool for the prediction of perinatal complications in pregnant women with gestational diabetes utilizing conventional and ultrasound markers of diabetic fetopathy.Materials and Methods. We analyzed 128 case histories of women who suffered from gestational diabetes. Among their newborns, 35 had clinical manifestations of maternal hyperglycemia (birth weight > 90th percentile, neonatal hyperglycemia, respiratory distress syndrome, and neonatal jaundice) while 74 were free of the indicated signs and symptoms.Results. Risk factors of maternal hyperglycemia manifestations in neonates included family history of diabetes mellitus type 2, obesity, and pre-eclampsia. Maternal hyperglycemia was significantly associated with the higher risk of adverse perinatal outcomes. A combination of ≥ 4 ultrasound оценке markers of a diabetic fetopathy permitted the diagnosis of the fetal macrosomia. Conclusion. Ultrasound markers of diabetic fetopathy have limited sensitivity in the prediction of perinatal complications after gestational diabetes.