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PGNIU: Digital Human Lookalike

Product
Developers: Perm State National Research University (PGNIU)
Date of the premiere of the system: September 2024
Branches: Pharmaceuticals, Medicine, Healthcare

2024: Product Announcement

On September 30, 2024, it became known that the first digital twin of the human organ was created in Russia to predict and treat diseases. A group of scientists from Perm State National Research University (PGNIU) has developed a digital bladder model that allows you to model pathological changes and optimize surgical tactics.

According to "Наука.рф," the study was conducted under the guidance of the director of the Physics and Mathematics Institute of PGNIU, Doctor of Physical and Mathematical Sciences Marina Barulina. The project was also attended by specialists from the Medical University "Reaviz," Saratov State Medical University named after V.I. Razumovsky and the Regional Clinical Oncological Dispensary.

The first digital double of a person for treatment in Russia has been created

The digital bladder twin is created using complex mathematical models that take into account the geometric dimensions of the organ and predict its behavior under various external and internal influences. This makes it possible to model pathological changes in a particular patient and choose the optimal treatment strategy without risk to human life.

Marina Barulina emphasized that the developed models allow you to measure organ deformation using the latest computing technologies, creating verified digital twins. Based on these models, it is possible to work out scenarios for successful treatment of patients.

The results of the study are published in the article "Modeling the stress-strain state of a filled human bladder" in the journal Applied Science (Switzerland), part of the Web of Science and Scopus databases.

PSNIU scientists are also working on other projects in medical biomechanics and artificial intelligence. They develop AI methods for use in surgery, resuscitation and psychiatry, create digital models of other human organs and software and hardware complexes for objectifying diagnoses.[1]

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