The director of the RUDN University Shared Research and Educational Center Abramovich R.A. took part in the XXIst International Congress «Phytopharm 2017» and 10th Anniversary of the TCM Research Center Graz
The XXIst International Congress «Phytopharm 2017» and 10th Anniversary of the TCM Research Center Graz 2-5 of July was held from 2 to 5 July 2017 at the University of Graz, Austria. The Congress was devoted to the discussion of topical issues of natural origin drugs, which consist main interest for specialists in phytopharmacy and the pharmaceutical industry. Plenary and key lectures were presented by leading professors, as well as representatives of industry.
Leading universities and research organizations, which have participated in the Congress.
-St-Petersburg Institute of Pharmacy, Russia
-Karl Franzens University of Graz, Austria
-Medical University of Graz, Austria
-Saint-Petersburg Chemical-Pharmaceutical Academy (SPCPA), Russia
-Federal Reserach Center of Nutrition, Biotechnology and Safety of Food, Moscow, Russia
-Society for Medicinal Plant and Natural Product Research (GA)
- Medicinal plant products: challenges, safety and efficacy
- Quality control of natural medicinal preparations
- Best practices in traditional medicines research
- TCM herbal medicine research
- Systems biology based medicinal plant research
- Technology of natural medicinal products
- Advances in clinical studies of Phytotherapeutics
- Regulation of herbal medicinal products and food supplements in Russia, the European Union, China and the USA.
The director of the RUDN University Shared Research and Educational Center Abramovich R.A. took part in the 21st Congress «Phytopharm 2017» and presented the report «The metabolomic approach to the investigation of secondary metabolites of herbal samples<» (R.A. Abramovich, V.G. Vasil’ev, S.V. Goryainov, O.G. Potanina, V.I. Ossipov).
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.