VRAIN applies artificial intelligence to healthcare and biomedicine, with work spanning precision medicine, clinical decision support, and genomic data analysis. Research combines machine learning techniques with conceptual modelling to support diagnosis, treatment planning, and disease prevention.
Work in this sector spans from the molecular level, with the Delfos Platform for genomic variation management, to clinical applications including risk prediction systems with RiskML and diagnostic support tools with DIAGEN. Membrane computing models are applied to simulate complex biological systems, explainable AI is developed for medical decision-making, and digital twins are created for bioprocess optimisation. These approaches support precision medicine by integrating genomic information with conventional clinical data.
Applications at VRAIN in this sector include oncology, cardiology, nuclear medicine, ophthalmology, and genomic medicine, developed within projects funded by the European Commission and national research programmes.
Related Technological Offer
Software & Patents
- Reasoning — Delfos Platform for genomic data, RiskML for clinical risk management, DIAGEN diagnostic support.
Services
- Reasoning — Digital twins for bioprocesses, optimisation and prescriptive analytics, explainable AI systems.
- Search — Genomic information tools, data mining and analysis.
- Perception — Computer vision for medical imaging.
Related Research Areas
- Natural Computing — Membrane computing for biological systems, genomic data modelling.
- Machine Learning and Deep Learning — Medical imaging analysis, diagnostic prediction models.
- Computational Logic and Automated Reasoning — Formal methods and reasoning for clinical decision support.
- Software Production Methods — Conceptual modelling for precision medicine information systems.