Skoltech professor presents new medical technologies to Russian President
On February 14, Skoltech Professor and LIFT Research Director Gleb Sukhorukov took part in a special exhibition at the second Future Technologies Forum in Moscow. Russian President Vladimir Putin and Health Minister Mikhail Murashko visited the Gazprombank stand, where Professor Sukhorukov presented four groundbreaking medical technologies.
subscription
Photo. Skoltech Professor and LIFT Research Director Gleb Sukhorukov, Russian President Vladimir Putin and Health Minister Mikhail Murashko at the special exhibition of the Future Technologies Forum. Credit: The Kremlin.

Gleb Sukhorukov, a professor at the Skoltech Neuro Center and the research director of the LIFT Center, presented four new technologies, including his team’s project, an additive technology for manufacturing drug-containing coatings for medical devices. Vladimir Putin was shown a machine that printed a functional coating on a medical device in real time, as well as coated catheters, stents, and implants.

The microcontainer-based functional polymer coatings that release pre-packed antibacterial or anticoagulant drugs with controlled pharmacokinetics are applied onto medical devices using a coating system similar to a 3D printer. The new technology can facilitate local release of antibiotics on implants, prevent complications after removal of erosions and tumors, reduce the likelihood of implant failure, speed up tissue regeneration around the implant, and reduce the risk of thrombosis by 3 to 5 times.

The Gazprombank stand also featured other innovative solutions created by Russian teams. The mobile system for genetic diagnostics of infectious diseases ensures fast and complete genetic diagnostics of infections, including RNA viruses, without using a full-fledged genetic laboratory. The bedside test uses compact cartridges and produces a result within a mere 30 to 40 minutes.

Quantum dots for molecular diagnostics provide fast differential in vitro diagnostics using quantum sensors − oriented conjugates of fluorescent nanocrystals (quantum dots) and highly specific recognition molecules. The method demonstrates at least a 10-fold improvement in sensitivity as compared to existing organic tags.

 Soft neuroprostheses similar to neural tissue in mechanical properties display successful biointegration and long-term effective functioning.