RUDN University scientists have developed an innovative method for early treatment of newborns' cleft palate and lip
The team of the Institute of Digital Dentistry and the Department of Obstetrics and Gynecology with the course of Perinatology of the RUDN University created an innovative method of personalised orthodontic treatment immediately after birth.
“The technology includes prenatal 3D diagnosis of the pregnant woman's pelvic organs using CT scanning and subsequent 3D modelling of the fetal face. The digital design stage is followed by the creation of a virtual model of the defect area. After obtaining the virtual model of the structure, the 3D printing of the prosthetic obturator made of photopolymer hypoallergenic material follows, which can be used from the first days of a newborn's life. The advantage of the developed method is early adaptation - the child immediately gets a comfortable way of feeding. A personalised prosthetic obturator is manufactured that precisely matches the defect area. This is achieved through ultra-precise 3D modelling and clear delineation of the defect boundaries. The low cost of construction allows several obturators to be made depending on the jaw growth. Also, and no less importantly, the material used eliminates the risk of allergic reactions,” Samvel Apresyan, Director of the Institute of Digital Dentistry at the RUDN University Institute of Medicine, Doctor of Medical Sciences, Honoured Inventor of the Russian Federation.
Experimental studies have been completed. The stage below is clinical implementation.
The technology allows working with similar congenital defects of the maxillofacial region. Eurasian patent for invention No. 049600.
The inventors include Sergey Apresyan, Viktor Radzinsky, Samvel Apresyan, Alexander Stepanov, Oksana Moskovets.
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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.
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