The invention of RUDN University scientists win the first prize of the International Exhibition of Inventions INVENTIONS GENEVA in Switzerland
Alexey Shkarubo, professor at the Department of Nervous Diseases and Neurosurgery at the Medical Institute of RUDN University, presented the invention for the first time at an exhibition in Geneva. Neurosurgical Stereo-Endoscope is a device for performing closed surgeries with minimal intervention into the body. The design feature of the device is a small outer diameter - only 4 mm. The invention provides for obtaining stereo images of objects, which allow to improve the quality of surgical care by improving the image quality and minimizing trauma. The exhibit can also be used to build neurosurgical stereoendoscopes. Alexey Shkarubo, Naum Pinkhasik, Vladimir Semenov, Alexander Baygeldinov and Vasily Myrza worked on the project. Participants and visitors could familiarize themselves with the prototype of the invention.
In 2019, the event was marked by a high proportion of inventions related to health care, medicine, environment and safety.
The designs proposed for the demonstration were peerreviewed and, based on the results of the work of the international jury, the best of them were awarded various medals, special prizes and diplomas, which contributed to their successful promotion to international markets.
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The International Invention Exhibition in Geneva is the most important annual event in the world dedicated exclusively to inventions. All new items are exhibited for the first time. The purpose of the exhibition is to promote the development of the intellectual property market, the introduction of innovations in production and the development of contacts between developers and investors.
April 10-14, 2019 in the International Exhibition Center PALEXPO at the 47th International Exhibition of Inventions INVENTIONS GENEVA, China, Thailand, France, Italy, Malaysia, Switzerland, Iran, Spain and Russia presented their exhibits
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.