Project Leader: Prof. Jarosław Meller, PhD, DSc
The increasing role of artificial intelligence (AI) in scientific and translational medicine is indisputable. This project aims to harness current and emerging generative AI and related approaches to develop an integrative agent-based system for biomedical data analysis, multi-domain integration, and outcome prediction. The ultimate goal is to improve patient diagnosis, enable personalized interventions, and enhance clinical outcomes.
Key principles of the project:
- Leveraging foundational AI models: Utilize pre-trained Large Language Models (LLMs) for analyzing Electronic Medical Records, biomedical imaging, omics, sequencing, and other data modalities. Fine-tuning and related techniques will be applied for domain-specific classification, analysis, and prediction tasks.
- Multidisciplinary collaboration: Harness the strengths of a multidisciplinary team, including computer scientists, data scientists, biomedical researchers, and clinicians, while promoting horizontal integration between Collegium Medicum and NCU informatics groups.
- Integration with ongoing AI initiatives: Build upon existing AI and machine learning applications in biomedicine, developing transferable techniques, models, and agent-based systems.
Project leadership and expertise:
- Prof. Jarosław Meller (Department of Informatics, NCU & University of Cincinnati) leads the project, with a proven track record in biomedical data science and AI/ML applications in cancer, autoimmune, and brain disorders.
- Informatics co-leads:
- Dr. Rafał Adamczak – AI-augmented intensive care systems in collaboration with Anesthesiology and Intensive Care.
- Dr. Norbert Jankowski – transformer networks and deep learning for bioinformatics and biomedicine.
- Dr. Tomasz Piotrowski – deep-learning solvers for the EEG inverse problem in brain disorders.
- Dr. Włodzisław Duch – AI expertise and strategic guidance.
- Medical co-leads: Dr. Tomasz Grzybowski (Forensic Medicine), Drs. Michalina Kołodziejczak and Przemysław Jasiewicz (Anesthesiology and Intensive Care).
The project synergizes with parallel initiatives, such as SOLAR-AI (Safe Optimized Learning for Aligned Reasoning in AI, led by Dr. Piotr Przymus, Faculty of Mathematics and Computer Science), aiming to develop safe, interpretable AI systems for science and medicine. This integration allows transfer of methods and solutions across projects, enhancing impact.
Vision: Establish a globally competitive research hub in AI-assisted biomedicine and healthcare, strengthening interdisciplinary collaboration across academic and clinical units at NCU, and advancing the frontiers of precision medicine in the era of AI.