Translartion. Region: Russians Fedetion –
Source: Peter the Great St Petersburg Polytechnic University – Peter the Great St Petersburg Polytechnic University –
Opening the eighth seminar on artificial intelligence, Vice-Rector for Research Yuri Fomin noted that the discussions demonstrated the diversity and scale of the use of AI technologies by Polytechnic University scientists. This time, two reports were devoted to the use of AI methods in digital engineering of molecular and biomolecular systems and in the management of processes in a high-tech medical organization.
The first topic was covered by Mikhail Ryazantsev, professor at the Higher School of Biomedical Systems and Technologies, director of the Scientific Research Institute “Digital Technologies in Medical and Biological Systems”. The speaker talked about the methods of machine learning and molecular systems engineering used, aimed at automating the development and optimization of the properties of molecular systems and processes, as well as synthesis and adaptation for industrial production.
Effective automation requires an iterative process where the results of high-performance computing and/or experiments are used to train ML models, which in turn guide further development and optimization steps. It is also important to have a platform for integrating all the tools into a single workflow.
Mikhail Nikolaevich spoke about the methods of directed evolution, combined design and the results achieved in optimizing protein properties. The professor emphasized that today chemistry is increasingly becoming an engineering science, including through the use of artificial intelligence, and the development of the industry requires appropriate software.
Igor Ilyin, Director of the Higher School of Business Engineering and Head of the Laboratory for Interdisciplinary Research and Education on Technological and Economic Problems of Energy Transition (CIRETEC GT), reported on solutions to pressing problems of medical institutions that need to optimize medical, management, and support processes.
The professor spoke about the characteristics and key aspects of the formation of the “smart clinic” architecture, as well as about digital technologies used in healthcare and projects being implemented. In particular, Igor Vasilyevich’s team is developing a system for supporting medical decision-making based on deep learning algorithms at the request of one of the largest medical centers in the country. Daniel Alliti, a postgraduate student at the Higher School of Business and Management of the Institute of Medical and Economics and Technology, spoke in more detail about the system. The system, being developed based on deep learning algorithms, should increase the efficiency of diagnostics and forecasting by 10%, reduce the number of medical errors leading to the death of the patient, reduce the routine tasks of doctors, freeing up time for receiving patients.
The seminar participants, who included undergraduate and graduate students, asked many questions regarding the methods and speed of computations, the operating systems used, responsibility for diagnoses made using AI, the use of terminology, etc.
It is gratifying that we have such a wide range of questions – from narrow technical to philosophical. This suggests that the topic of using artificial intelligence is truly interdisciplinary and inexhaustible, – commented on the results of the seminar Yuri Fomin.
The Vice-Rector for Research also supported the proposal to create a glossary on the topic of artificial intelligence so that there would be a common understanding of terms among participants in interdisciplinary research groups.
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