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The Research Institute of Bionics and Personalized Medicine of Samara State Medical University, which is engaged in the development and production of individual and serial endoprostheses, was the first in Russia to successfully pass the Roszdravnadzor test according to new standards. The institute has become a manufacturer of individual endoprostheses, included in the specialized register, whose quality management system meets the requirements of the ISO 13485 standard, the press service of the university reported.

The scope of inspection of Roszdravnadzor includes individual medical implants performed according to the anthropometric parameters of the patient. They are produced at the research institute from titanium, ceramics (zirconium dioxide), high molecular weight polyethylene, and cobalt-chrome.

“We have passed the initial inspection of the quality management system for the production of individual medical devices in accordance with 135 and 136 resolutions of the Government of the Russian Federation. These are new regulations, and we were the first to be tested for compliance in all respects,” explained the director of the Research Institute of Bionics and Personalized Medicine of SamSMU Andrey Nikolaenko.

Titanium and ceramic endoprostheses of our own design are manufactured taking into account the anatomical characteristics of patients. Endoprostheses are produced both serially and individually and can potentially cover all the needs of the country. More than 300 successful operations have already been performed in the leading federal centers of the country using SamSMU implants: in neurosurgery, maxillofacial surgery, reconstructive surgery, hand and foot surgery, traumatology, orthopedics, oncology.

We are developing our own endoprostheses for joint replacement as part of revision prosthetics, including for oncological cases, as well as special children’s sliding prostheses that will “grow” with the little patient.


Complex heart surgery, which was previously performed only through open access, at the National Medical Research Center named after. V.A. Almazov was first treated using the Da Vinci robotic surgical complex, the center’s press service reported. The patient was a 29-year-old St. Petersburg resident with a large benign heart tumor—myxoma.

“Access for the robotic ports was made in the intercostal spaces, without violating the integrity of the ribs, and the heart-lung machine was connected via peripheral access through the femoral artery and jugular vein,” said the head of the Department of Cardiovascular Surgery No. 3, under whose leadership the operation was performed, Vadim Grebennik. “In the near future, we plan to apply the capabilities of robotic surgery to other types of cardiac surgery.”


In the US, a number of healthcare organizations are testing the use of virtual nurses. At St. Francis Medical Center, OSF HealthCare has been comparing two different approaches to using technology for four months: some patients communicate with a telenurse through a monitor in the room, others using a tablet.

Until now, virtual nurses have primarily been involved in admitting and discharging patients to relieve the workload of nurses on duty. But the clinic plans to allow a remote nurse to teach patients, regularly “walk” the wards to check patients, etc.

Remote nurses work from the premises of the OSF OnCall digital clinic in the same medical center, but this may change in the future due to a large shortage of medical specialists. The clinic’s management understands that over time, in order to retain this category of employees, they will have to allow them to work from home.


Scientists from Tyumen Medical University are improving the methods and technical means of early neurorehabilitation of patients, the university’s press service reports.

Virtual reality glasses with visual simulation to help patients with acute cerebrovascular accident are being developed by an assistant at the Department of Medical Prevention and Rehabilitation of TMU Olga Shukalovich. Her project won the “Umnik” competition and received grant support from the Innovation Promotion Fund in the amount of 500 thousand rubles.

VR glasses will be used to restore the motor activity of patients after a stroke in the acute period of the disease, either as a separate rehabilitation complex or together with the Velomed simulator.

“The choice of VR glasses and helmets today is large, but these are gaming models,” noted Shukalovich. “They do not meet the requirements of a medical device; they cannot be used by patients in serious condition. The device being developed is intended exclusively for medical purposes and will be equipped with an accelerometer, a laser positioning sensor, a proximity sensor, a motion controller, and two screens that provide an overall record resolution.”

It is possible to adjust the width of the frame, focal length and proximity to the eyes, and symmetrically change the interpupillary distance. The glasses will be lightweight and safe for the patient and the healthcare professional. It is planned that the production of VR glasses for early neurorehabilitation of patients will begin in 2024.


The Third Opinion Platform company, with the participation of the authors of the educational project Mammovision, created a platform for training radiologists who interpret mammograms. It has already been tested by specialists from the Russian Scientific Center for Surgery named after. acad. B.V. Petrovsky. In the future, the number of modalities in which training will be conducted will be expanded. There are also plans to introduce AI simulators into the educational process in universities.

On the platform, users can upload images from their medical practice or use the generated archive from real cases and compare their diagnostic hypotheses with the assessment of artificial intelligence, will complete homework to describe research and receive feedback from project mentors.

Training specialists by increasing their “observation” (which is especially applicable to complex cases) will contribute to the development of skills and the formation of diagnostic practice. The authors of the project believe that this will lead to a reduction in the number of errors.

After the training, students will also have access to a demo version of services for AI analysis of X-rays, chest CT scans and mammograms. Artificial intelligence will help and support program graduates in the first stages after training and in subsequent practice.

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