Academic Centre
On November 26, researchers from the Faculty of Medicine (MF) of the University of Latvia (LU) offered a wide program of free events for the education of diabetes patients.
Throughout the day, visitors could determine blood glucose levels, assess their knowledge in the field of diabetes control and prevention of its complications, and learn about more modern approaches to diabetes treatment and research.
At the event, endocrinologists and researchers Jeļizaveta Sokolovska and Lelde Krūzmane explained to patients in which cases the introduction of new technologies such as insulin pumps and glucose sensors in daily diabetes care is useful. Ophthalmology residents and researchers Beate Pēterfelde, Renāte Nagobade and Jūlija Yanceva educated the visitors about the concept of diabetic retinopathy, risk factors and control principles.
The event's visitors had a unique opportunity to test their carbohydrate counting skills together with diabetes nurse Jana Yanevich, while nurse Aleksej Fedulov demonstrated the principle of nature of the constant glucose monitoring sensor and its application in research.
Molecular biologist, researcher Maija Rosenberga informed about the secrets of the intestinal microbiome and its role in the development and treatment of diabetes, while assistant professor, researcher Evita Rostock demonstrated the capabilities of the algorithm created by artificial intelligence to predict diabetic complications. Data specialist, researcher Dace Pētersone introduced the visitors to how artificial intelligence aglorhythms analyzing images.
In addition, the researchers informed the patients about the opportunity to participate in LU MF research in the field of diabetes: in the project "Association between glucose variability, intestinal disorders and progression of diabetic nephropathy in type 1 diabetes patients" (No. lzp-2020/1-0138), as well as Baltic research programs in the project "Integrated model for diabetic retinopathy screening and monitoring using risk-stratification and artificial intelligence-based automated fundus image analysis (PerDiRe)" (No. EEA-RESEARCH-60), financially supported by European Economic Area (EEA) grants.
During the event, medical and academic staff gave diabetes patients the opportunity to answer pre-prepared questions related to diabetes care.
The event was held in cooperation with the Latvian Diabetes Association.
