RUDN University scientists described methods of combating diabetes and hepatitis C at a conference in the United States « Diabetes Global -2017»
The conference was attended by more than 100 participants from the United States, Russia, Egypt, Australia, India, Mexico, South Africa, Nepal. The main topics were dedicated to issues of diabetes and metabolic disorders, complications of diabetes, modern methods of prevention and treatment. Accordind to the opinions of our professors, particular attention should be paid to the topic of «Nursing Care», because in Russia it is not yet represented either in the educational or in the practical sector.
Professor Irina Alekseevna Kurnikova, published more than 30 articles in reputed journals, the author of 25 books and tutorials in Russian language, 10 inventions (patents), leading expert in the field of diagnostics, treatment, rehabilitation of diabetic and thyroid diseases,< the key speaker of the conference, presented the report «The role of autoimmune neuropathy in the formation and progression of arterial hypertension in patients with type 2 diabetes mellitus». The publication of the full version of the report showed interest in two scientific journals - «Journal of Diabetes and Metabolism» and «Medical and Clinical Research». Also as chairman Irina Alekseevna Kurnikova, held one of the sessions.
Associate Professor Tarasova, in her turn, made a plenary report «Antiviral drug interferon in combination with metformin in the treatment of viral hepatitis C» with the HCV-1 genotype and insulin resistance».
International conferences on diabetes and endocrinology are held regularly in the US and Europe under the support of Program Diabetes Global. Russian specialists rarely take part in them, but after the conference in Charlotte, the RUDN University scientists received invitations to other European and American scientific forums.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.