News Digest 06.10.2023-09.10.2023

Regulators

The Security Council of the Russian Federation will organize scientific research for the development of biotechnology

The government has submitted a bill to the State Duma that allows manufacturers of Russian medical products to receive a value added tax benefit on components. To return the tax paid, the vendor will have to provide a certificate - national or EAEU, as well as an extract from the register of Russian or Eurasian industrial products.

Source: https://vademec.ru/news/2023/10/06/rossiyskim-proizvoditelyam-medtekhniki-mogut-obnulit-nds-na-komplektuyushchie/


Market news

Russian manufacturers of medical equipment may have VAT on components zeroed out

On October 5, Russian President Vladimir Putin signed a decree “On the Interdepartmental Commission of the Security Council of the Russian Federation to counter modern threats to biological security.” Among the functions of the new commission is the organization of comprehensive scientific research for the development of biotechnology. The commission will include the heads of the Ministry of Health, FMBA, Rospotrebnadzor and the Ministry of Industry and Trade.

Source: https://vademec.ru/news/2023/10/06/sovet-bezopasnosti-rf-zaymetsya-organizatsiey-nauchnykh-issledovaniy-dlya-razvitiya-biotekhnologiy/


Other

A neural network has been implemented in Moscow to search for intracranial tumors on MRI of the brain

Moscow doctors specializing in working with MRI studies have the opportunity to use neural networks when diagnosing intracranial tumors. Algorithms mark areas of possible tumor formations on the tomogram with color hints and automatically make the necessary measurements.

Source: https://medvestnik.ru/content/news/V-Moskve-vnedrili-neiroset-dlya-poiska-vnutricherepnyh-novoobrazovanii-na-MRT-golovnogo-mozga.html


Sechenov University has learned to assess the risks of seven types of cancer using one blood sample

Sechenov University has developed a medical decision support system (MDS) OncoPro - it is capable of assessing the risks of developing seven oncological diseases using one blood sample. The system is based on a neural network that analyzes the results of the analysis for 14 tumor markers.

OncoPro uses neural networks trained on data from more than 1 thousand patients with various types of cancer. Based on the results of an analysis of 14 tumor markers, the system calculates the patient’s likelihood of having lung, intestinal, bladder, breast, kidney, ovarian or prostate cancer (depending on gender).

Source: https://medvestnik.ru/content/news/V-Sechenovskom-universitete-nauchilis-ocenivat-riski-semi-vidov-raka-po-odnomu-obrazcu-krovi.html


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