Digital twins master medicine

Digital twins master medicine

Beeline University and Sechenov University have signed an agreement to create a joint digital laboratory for research in the field of digital technologies in medicine. The project includes the joint work of the parties in the field of creating new medical technologies based on artificial intelligence technologies, as well as the implementation of the results of cooperation in the healthcare system of the Russian Federation.

Dean of Sechenov University, Academician of the Russian Academy of Sciences, Professor, Doctor of Medical Sciences Petr Glybochko noted that the development of digital solutions in medicine and their implementation in practical healthcare allows to solve the most complex diagnostic problems on a completely new level, and new software solutions created on the The basis for the use of neural networks and artificial intelligence are related and very popular electronic tools for scientists and clinicians.

“The project to create a collaboration between IT engineers and medical experts creates the prerequisites for a real technological breakthrough, and we are primarily talking about creating digital twins and their introduction into clinical practice. I note that this is one of the main areas of the development of Sechenov University as part of the implementation of a priority 2030 “, which will be implemented thanks to the cooperation of specialists from Sechenov University and PJSC VimpelCom”.

The press service of Sechenov University noted that, in general, digital twins find various applications in medicine – for example, the creation of a digital twin of health, the modeling of pathological processes, the creation of online services for monitoring patients. Moreover, the digital twin should copy the functions of the object it is targeting as completely as possible.

“However, it should be noted that the human body is much more complex than all the engineering structures developed by mankind, and this imposes certain requirements and limitations on creating digital health twins. As a rule, it is required to integrate big data analysis techniques, machine learning, mathematical modeling, virtual reality and many more things Others in healthcare, digital twins can simulate certain aspects of human biology – for example, individual organs or organ systems, certain diseases, and diseases.It will allow many drugs to be tested and different types of treatment tried, without endangering the life of a real animal. Digital twins can also exist for medical equipment to increase its reliability, or even for entire hospital systems, Sechenov University added, adding that digital twins with individual software can use patient health indicators to calculate disease probabilities, disease course scenarios, and the efficacy of different types of treatment that provide Operational monitoring of patient health, prevention and personalized treatment of various diseases; the most promising area also includes maternal digital twins satisfied.

The laboratory is expected to house young researchers to master modern methods of disease analysis and timely detection. Scientific exchanges and internships between Pelin University and Sechenov University are also expected.

Beeline Executive Vice President for Digital and New Business Development, Evgeny Chereshnev, said that products based on artificial intelligence and neural networks are transforming modern medicine, in particular, intelligent software solutions trained on the results of the work of the best doctors in the industry help significantly simplify and speed up diagnostics. very accurate. Thus, Beilin’s representative noted, it simplified the work of doctors and significantly increased patients’ chances of successful treatment, sometimes in the literal sense of saving lives.

“Cooperation with Sechenov University is a new direction for Beeline, but it is already paying off. Sechenovka experts are among the best in the world, and we are pleased to be able to develop and implement high-tech solutions with them that have very specific characteristics and applications in urgent scenarios and saving lives”, summed up Evgeny Cherishnev.

Earlier, Beeline University and Sechenov University began cooperation in the development of information technologies for medical purposes. The two parties exchange scientific and technical information and information technologies and implement projects for joint development and promotion of products, technologies and solutions in the field of establishing communications technology infrastructure, data processing centers and programs for information, analysis and control systems.

When asked by ComNews about areas of medicine in which joint research is carried out, Sechenov University replied that, first of all, it is about research in the field of oncology and cardiology, with the aim of early diagnosis and prediction of the development of diseases.

“Currently, a protocol is being developed to combine neural networks for the purpose of automated labeling of tissue structures in image scanning histology. In collaboration with Beeline, we have developed a native software solution for multi-layer segmentation of the tumor microenvironment on image scanning histology of colon adenocarcinoma. In the future. , This solution will be used to create an original model that predicts disease course and patient survival. Through our collaboration in analyzing histological images of the kidney, it turns out that we can provide an algorithm to support decision-making by transplant professionals about the potential for acute cellular rejection of the transplanted kidney. The accuracy of the original algorithm is already more than 95 % ”, summarized Sechenov University, adding that developments are also underway in the field of orthopedics and the prediction accuracy is already more than 80%.

According to Mikhail Belyandinov, co-founder and CEO of BestDoctor, the digitization of medicine and its transformation into data are processes that have a very positive impact on the development of the industry, and the creation of a joint laboratory between Beeline and Sechenov University, which includes the development of modern methods of analysis and timely detection of diseases is appropriate Absolutely, because the better the industry processes medical data and draws conclusions from it, the better for it.

“The main condition under which the establishment of such a laboratory is appropriate is the quality of the data. It should also be noted that in any process of data collection – including medical data – it is important not only to collect this data, but also to draw valid conclusions from it. The creation of Databases collected within this laboratory and the analysis of these data based on artificial intelligence techniques – provided that the data quality is high – will be able to enhance the predictability of health care, that is, the ability of medicine to predict diseases,” emphasized Mikhail Belindinov.

Anna Misryakova, CEO of Third Opinion Platform, noted that a digital twin could be created based on available digital data about a patient, although there are some reservations – big data sources are needed, such as data from the electronic medical record (EMR), and efficiencies in structure and analysis.

“Over the past two years, the demand for MedTech solutions, including artificial intelligence and machine learning, from the healthcare system in Russia and around the world has increased significantly, including in relation to the challenges of the COVID-19 epidemic. I think that the practical use of twins in the Questions of controlling epidemics or examining basic health indicators are of great interest to specialists. Data from the electronic medical records of one group of patients can already be used today to model possible complications and the risk of developing certain diseases on a large sample scale,” Anna Meshcheryakova drew attention and added that we can conditionally distinguish between Three areas of application of digital modeling in healthcare: medical equipment, individual organs (heart, brain, etc.) and some health indicators.

In response to a question from ComNews about the prospects for introducing medical technologies such as digital twins in Russia, Alexander Rozhkov, Director of Products and Technologies at T1 Group, replied that the market for digital twins in healthcare is very promising, especially given the plans of the Ministry of Health. Health in the Russian Federation to modernize primary care, increase the efficiency of operational processes, etc.

“According to the forecasts of PricewaterhouseCoopers, the introduction of such services in the inpatient medical care sector in Russian healthcare can save up to 536 billion rubles by 2025. In particular, the savings in the redistribution of the workload to medical staff It will save another 148 billion rubles, improve the stock of medicines and equipment – 228 billion rubles, expert T1 estimated.

Anton Sklovits, an analyst at Freedom Finance, noted that the amount of investments in the digital lab will depend on the additional development vector. He evaluated the cooperation between Beeline and Sechenov University as mutually beneficial, but added that in order to evaluate the investment in the laboratory, it was necessary to understand the vector of the relationship with a partner in practice. According to the expert, infrastructure costs, including equipment and staffing, are among the first.

Anna Misryakova added: “The assignment of digital twins is the development and testing of innovative methods of treating patients. They are used by pharmaceutical companies and manufacturers of medical equipment. Thus, digital twins are “virtual patients”.

Nikolai Knyazev, Softline Digital expert, noted that creating digital physician assistants is a long-standing task that many companies have tried to solve, but the requirements for accuracy and the quality of recommendations do not yet allow to transfer it to a practical level. From the comprehensive application.

“Automation is an inevitable process, and in this sense, the development experience of a large technology company will help create new software products. However, the medical product development cycle takes more than a year, including testing, so the practical effect of this cooperation should Waiting,” concluded the Softline expert.

Alexander Rozhkov noted that patient health monitoring systems using wearable IoT devices have been in use in the world for a long time.

“It is assumed that digital twins will allow data from these devices to be analyzed and will be integrated into medical decision-making systems. However, in many countries these solutions have to go through a complex and lengthy certification path, hampering mass distribution. In the future, telecom operators who have Such solutions may exit into new target markets – for example, the smart insurance market and pharmaceuticals.”

“Of course, when creating any database in the laboratory, special attention should be paid to the correct handling of patients’ medical data and compliance with all legal requirements in the field of personal data protection,” Best Doctor’s Mikhail Beliandinov emphasized in conclusion.

Experts and specialists agreed that cooperation between Sechenov University and the company PJSC VimpelCom is a suitable factor for such research, because the company actively uses wearable devices that transmit health indicators to provide remote consultations and remote monitoring, and this interaction will allow access to advanced technologies, accumulated experience in implementing Projects and services based on the Internet of Things, and modern network infrastructure (LPWAN, 5G, WiFi-6).

“Combining the experience of the employees of Sechenov University and Beeline University can lead to the creation of advanced products in the field of medicine and ensure their smooth translation into practical healthcare by attracting the necessary specialists,” the Beeline press service noted.

“We are exploring the possibilities of the digital twin for business. We believe that the AI-based model will become a powerful management tool. The digital twin serves business processes and replicates company assets. The machine learning system works independently with the digital twin, progresses, learns to develop optimal strategies and tactical steps, we do not We exclude the possibility of using the accumulated experience in other fields, including medical projects.

Leave a Reply

Your email address will not be published.