R&D Center for Predictive Analytics and AI Solutions in Medicine
An R&D center developing predictive AI platforms across medical fields: reproduction, cardiology, rehabilitation, obstetrics and gynecology, medical genetics, learning platforms powered by XR technologies, and solutions for industrial use in medicine.
Our solutions aim to improve the effectiveness of medical care and align with the Russian Federation's strategic healthcare priorities.
About the center
The AI Predictive Medicine Lab is an R&D center developing artificial intelligence technologies for clinical decision-making, predicting treatment outcomes, and medical rehabilitation.
We bring together clinicians, data scientists and engineers to create products that turn medical data into explainable clinical decisions. We develop and validate AI platforms in partnership with leading healthcare institutions.
To turn medical data into explainable clinical decisions that improve the quality and accessibility of medical care.
Portfolio of directions
Predictive analytics and hybrid AI models for treatment personalization
We develop AI algorithms that can predict therapy effectiveness and complication risks based on multimodal data.
Projects
Immersive solutions for neurorehabilitation and medical education
We create training platforms and rehabilitation programs based on VR, AR and MR for the recovery of cognitive and motor functions.
Projects
Tools for genetic analysis and interpretation
We develop tools for analyzing and interpreting genetic data, as well as predicting hereditary and other risks.
Projects
Analytical dashboards and screening solutions for health authorities
We develop predictive analytics and monitoring tools for health authorities and medical organizations, helping them make data-driven decisions.
Projects
AI solutions for occupational health and industrial healthcare
We develop solutions for predicting conditions linked to occupational risks and for supporting corporate medical services.
Projects
Aligned with strategic priorities
Supporting birth rates and reproductive health of the population through digital tools and predictive analytics.
Predictive models for early risk detection and a personalized approach to therapy.
IT solutions for medical rehabilitation and support of older adults.
Building our own solutions in medical AI that are independent of external constraints.
Solutions that integrate into the modern digital healthcare infrastructure.
When developing solutions, we are guided both by the clinical potential of technologies and by the strategic objectives of socio-economic development.
Our principles
Every project is developed together with clinicians, ensuring practical applicability.
We combine test results, images, contraindications, genetic and other data.
Our models can explain why a particular decision was made.
We follow requirements for personal data and medical information processing (Federal Law 152-FZ).
Solutions fit into physician workflows and help make data-driven decisions.
We use the latest medical data to train and update models.
We implement technology with the needs of patients, doctors and researchers in mind.
Every solution is validated against real or public clinical data.
Partnership
We invite medical organizations, universities, technology companies and government institutions to collaborate. Together we can bring AI solutions into practical medicine and improve the quality of medical care.
Contacts
Send us a short message — we will get back to you, discuss the details and suggest collaboration options.
