• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

HSE’s CardioLife Test Among Winners of Data Fusion Awards 2026

HSE’s CardioLife Test Among Winners of Data Fusion Awards 2026

Photo courtesy of the Data Fusion Awards Organising Committee

The CardioLife genetic test—a development by the Centre for Biomedical Research and Technologies of the AI and Digital Science Institute at HSE University’s Faculty of Computer Science—has won the All-Russian cross-industry Data Fusion Awards, which recognise achievements in data and AI technologies. The project took first place in the Science–Business Partnership category, demonstrating a successful model for transferring technology from university research into the real healthcare sector.

The uniqueness of the test lies in its combination of next-generation sequencing methods (NGS) and artificial intelligence technologies. Unlike standard PCR tests and targeted panels, CardioLife can detect not only known hereditary variants but also previously unidentified somatic mutations in each individual patient. This ensures the most comprehensive and accurate diagnosis of predisposition to cardiovascular diseases. The awards jury highly praised not only the test’s current capabilities but also its potential for advancing personalised cardiology and supporting import substitution in high-tech diagnostics.

A Technology Aimed at the Future

Unlike conventional PCR tests, CardioLife is a ‘living’ technology capable of evolving. By using next-generation sequencing (NGS) and AI algorithms, the test not only records known mutations but also identifies new hereditary and somatic variants, adapting to the data of each specific patient.

The developers position CardioLife as a platform solution that will continue to improve as more data is accumulated and as the needs of the medical community evolve. At present, the test covers a wide range of conditions, from Brugada syndrome and catecholaminergic tachycardia to familial hypercholesterolaemia, aortic aneurysms, and thrombophilia.

‘CardioLife is not just a test—it is an intelligent system. We set out to create a product that would continuously learn and expand its capabilities. Winning the Data Fusion Awards signals that the industry supports this very approach: deep science, advanced technologies, and, most importantly, a focus on real clinical practice. We see a future where such tests become the standard for preventing sudden cardiac death,’ commented Maria Poptsova, Director of the Centre for Biomedical Research and Technologies at the AI and Digital Science Institute, HSE University.

Partnership as a Driver of Innovation

The development is being carried out in close collaboration with industry partners—Evogen and Genotek—which are testing and adapting the product for the broader market. Cooperation based on licensing HSE University’s developments has made it possible to significantly accelerate the creation of product prototypes and test them in real market conditions. This model helps strike a balance between business interests and the research agenda of the scientific team.

Andrey Darkshevich, Olesya Sagaydak, Maria Poptsova, Alexander Rakitko
Photo courtesy of the Data Fusion Awards Organising Committee

‘For us, partnership with HSE University is a prime example of how science and business can work together to create truly in-demand medical solutions. CardioLife combines deep scientific expertise with practical value, which is particularly important for integrating genetic technologies into clinical practice. We see great potential for this product in the personalised medicine market and are actively involved in its development and scaling,’ said Alexander Rakitko, Director of Science at Genotek.

‘Evogen has long collaborated with colleagues from the AI and Digital Science Institute at HSE University, and these are always fascinating, science-intensive projects. The CardioLife product is personally meaningful to me, as my primary specialisation is cardiology, and I was delighted to contribute to bringing it to market. I am very pleased that it has received such high recognition at the Data Fusion competition,’ said Olesya Sagaidak, Deputy CEO of Evogen.

For patients, taking the test offers not only insight into genes associated with cardiovascular diseases but also the opportunity to significantly improve both quality and length of life through preventive measures. Medical centres implementing CardioLife gain a tool for a personalised approach based on precise genomic data. This helps build long-term relationships with patients, who return for preventive check-ups and ongoing health monitoring. The creators plan to further refine the test by expanding the number of detectable conditions in response to the current needs of the medical community.

This prestigious award recognises the commercial potential of the CardioLife product. HSE University’s collaboration with companies developing cutting-edge diagnostic services based on genetic technologies enables the introduction of a wide range of products to the market—both for clinical use and for a broader audience seeking personalised prevention and health management programmes. The strong scientific reputation of researchers at one of Russia’s leading universities increases trust in such innovative products and contributes to improving the quality of medical services.

See also:

HSE University to Develop Predictive Analytics System for Icebreaker Motors

Industrial automation is one of the key applications of artificial intelligence. A predictive analytics system for large electric motors is among the solutions being developed for the industry as part of HSE University’s Strategic Technological Project ‘Multi-Agent Platform of AI Solutions for Industry-Specific Tasks.’ What is predictive analytics, how can it improve the operation of electric motors, and what specialists joined forces to develop this technology? Anton Zarubin, Dean of the School of Computer Science, Physics, and Technology at HSE University–St Petersburg and the project development coordinator, explains in this interview with the HSE News Service.

Scientific Expedition to Hainan: HSE Scientists Organise Conference on Statistical AI in China

The Statistical AI Conference was held in Sanya, Hainan Island, China, from 24 to 28 August 2026. The international event brought together leading experts in statistics, machine learning, and applied AI. Alexey Naumov, Director of the AI and Digital Science Institute at the HSE Faculty of Computer Science, and Sergey Samsonov, Head of the International Laboratory of Stochastic Algorithms and High-Dimensional Inference, were among the conference organisers.

5th Fall into ML Conference to Bring Together Leading AI Researchers

The AI and Digital Science Institute at the HSE Faculty of Computer Science invites researchers, developers and everyone shaping the future of technology to the fifth, anniversary edition of the Fall into Machine Learning conference (Fall into ML 2026). The event will take place on October 23–24, 2026, at the HSE Cultural Centre in Moscow and will become the key meeting point for Russia’s AI community.

HSE University to Present Its Projects at the International Youth Festival

The International Youth Festival (IYF) will be held in Yekaterinburg from 11 to 17 September 2026. HSE University will take an active part in the event. The university's booth will present a space settlement mock-up, robots, and the iFORA big data analysis system. Fifty HSE students will visit festival venues, and experts will participate in the business programme.

HSE University Expands Cooperation with Malaysia in Technology Foresight

HSE University researchers will take part in a study of the future of engineering education in Malaysia, while the Malaysian Industry-Government Group for High Technology (MIGHT) will use the iFORA big-data analysis system to validate the findings of its foresight research. These are the outcomes of a visit by HSE representatives to Kuala Lumpur.

Scientists Train Neural Network to Generate Process Plans from 3D Models

Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

Biologists Discover 'Molecular Fingerprint' of Preeclampsia

Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

Laboratory of Future Networks: HSE Telecommunications Research Institute Develops 5G/6G Research Testbed

The 5G/6G testbed at the HSE Telecommunications Research Institute is becoming a research platform, an educational laboratory, and a foundation for developing new software components for future networks. It makes it possible not only to observe how a mobile network operates, but also to change its operating conditions and measure the results: data-transmission speed, latency, errors, radio-resource utilisation, and other parameters. Based on the testbed, researchers plan to develop MIMO, O-RAN, xApp, and IAB technologies, as well as experiment with artificial intelligence.

‘Hedgehog’ Versus ‘Relatives’: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech

Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.

Hybrid Intelligence: Competencies in the Age of AI Discussed at Technoprom-2026

Artificial intelligence is not creating new professions, but rather transforming the nature of existing ones. This was the conclusion reached by participants in the panel session ‘Hybrid Intelligence: Digital and Human Drivers of Development,’ organised by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) at HSE University as part of the 13th International Forum of Technological Development (Technoprom-2026). The experts discussed how the nature of work is changing, which skills are becoming increasingly sought after, and what prevents companies from fully capitalising on new technologies.