HSE’s CardioLife Test Among Winners of Data Fusion Awards 2026
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.
‘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:
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.
Scientists Develop New Solution for 6G Communication Systems
A terahertz neuromorphic circuit developed by scientists at HSE University could make 6G communication systems both more accurate and energy-efficient. The circuit enables indoor tracking of mobile devices with an accuracy of up to 99%. The results were presented at PIERS 2026, an international symposium on Photonics and Electromagnetism held in China.
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
Researchers at HSE University and Sber Train Neural Networks to Better Predict User Preferences
The HSE FCS AI and Digital Science Institute and Sber have introduced a new architecture for recommendation systems that combines two classes of models, enabling algorithms to better predict users’ interests and needs. A preprint of the paper has been published on arxiv.org and presented at Urban ML.
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.