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:
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.
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.
Physicists Discover What Happens Inside a Stable Vortex
Large vortices with characteristic spiral arms are often observed in the atmosphere and the ocean. Physicists from HSE University have explained how these structures form and why they retain their shape. The researchers found that velocities at points located along the same vortex arc remain correlated even over long distances. At the same time, this correlation weakens rapidly with increasing distance from the vortex centre. These differences help explain the formation of spiral arms and may improve models of atmospheric and oceanic currents. The findings have been published in Physical Review Fluids.
HSE Computer Science Researchers Win Gold Medal at International Machine Learning Competition
A team comprising HSE International Laboratory of Statistical and Computational Genomics researchers Aleksei Shmelev and Nikita Chervov, 2025 graduate of the HSE Faculty of Computer Science’s Master’s programme in Data Analysis in Biology and Medicine Ivan Gevorkov, and two students from the United States achieved an outstanding result at the 2026 NeuroGolf international machine learning championship. The team won a gold medal and placed seventh overall.
‘Working with AI Solves a Wide Range of Engineering Problems’
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
‘The Peak of Stupidity’ and ‘The Valley of Despair’: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.
Advancing Collaboration: HSE Faculty of Computer Science and Harbin Institute of Technology Hold Joint Seminar
From July 13 to 16, 2026, the Faculty of Computer Science hosted the Russian–Sino Research Seminar on Machine Learning Applications, organised by the HSE Laboratory for Cloud and Mobile Technologies in partnership with the Harbin Institute of Technology (China). A delegation comprising seven students and three university representatives travelled to Moscow to take part in an intensive four-day programme.