Research Themes
Professor Igor Goryanin's research spans systems biology, biomedical informatics, AI, and quantum technologies, with applications across diagnostics, treatment, and bioengineering. Below are some of the core focus areas:
AI for Biomedical Research
Development and application of artificial intelligence, machine learning, and generative models for drug discovery, diagnostics, and clinical decision support. Projects include natural language processing for scientific knowledge extraction and LLM integration into QSP modeling pipelines.
Medical Microwave Radiometry (MWR)
Non-invasive diagnosis and thermal monitoring of diseases such as breast cancer, stroke, and neurological disorders. Pioneering AI-enhanced MWR techniques, self-contrastive learning models, and integration with infrared thermography and wearable devices.
Microbiome & Multi-Omics Integration
Investigating host-microbiome interactions using NGS, metabolomics, and transcriptomics data. Focus areas include microbiome-driven inflammation, diet-personalization, and microbiome-linked mechanisms in cancer and mental health.
Quantum Biology & Brain Research
Exploration of quantum coherence, microwave sensing, and consciousness models. Integrating quantum field hypotheses with physiological measurements to study brain thermodynamics, circadian rhythms, and neurodegeneration.
Environmental Bioelectrochemical Systems
Use of microbial fuel cells (MFCs), photobioreactors, and membrane technologies for wastewater remediation and bioenergy production. Includes applications in industrial waste valorization and sustainability.
Systems Biology & Computational Modeling
Development of computational models including SBML-based simulations, metabolic pathway analysis, and constraint-based optimization of bacterial and human systems. Collaborative work includes the Edinburgh Human Metabolic Network and the global human metabolism reconstruction.