AI4MEDICINE

Full name:

Artificial Intelligence and Machine Learning Approaches for Biomedical Data Analysis, Integration and Outcome Prediction

Appointment of the team:

2025

It is now commonly acknowledged that successful future research teams will include human experts and specialized multi-agent AI systems. AI4Medicine project aims to develop an integrative, multi-domain agent-based AI framework for biomedical data analysis, integration and outcome prediction.

Leveraging pre-trained foundation models, including those for Electronic Medical Records, biomedical imaging and Omics data, the project will develop computational infrastructure and a library of advanced AI models and agents for the diagnosis and decision support, identification of potential drug targets, and individualised therapeutic interventions. The project will capitalise on the strengths of the multidisciplinary team and ongoing projects focusing on applications of Machine Learning and AI in biomedicine. To facilitate and strengthen collaborations between computer and data scientists with biomedical scientists and clinicians, AI4Med team members will be working closely with clinical and basic science groups across NCU campuses.

The research group is organised into 4 sub-projects:

Omics Signatures for Outcome Prediction & Drug Discovery,
AI-Driven Clinical Decision Support Systems for ICU Treatments,
EEG Signatures for Brain Disorders and Aging,
AI Foundry for Model Library and Agent Development.

Team Leader

Jarosław Meller

Bio:

Jarosław (Jarek) Meller is a Full Professor of informatics at the Institute of Engineering and Technology, Faculty of Physics, Astronomy and Informatics, NCU. He is also a Professor of biostatistics, health informatics and data sciences at the University of Cincinnati College of Medicine, with joint appointments in the Department of Computer Science, University of Cincinnati and Division of Biomedical Informatics at Cincinnati Children’s Hospital Medical Center. Dr. Meller has extensive interdisciplinary training in computational chemistry, biology, physics, and mathematics, along with postdoctoral experience at Cornell, Kyoto University, and the Hebrew University. His research spans bioinformatics, computational genomics, and biomedicine. Dr. Meller’s lab develops computational methods and tools for mining biomedical data, protein function and interaction prediction, and genomics-driven analysis of disease biology. He has been involved in many large-scale projects, both as the principal investigator and co-investigator, primarily funded by the National Institutes of Health in the US. His recent work has been focused on generative AI models for drug discovery, integrative multi-omics studies of signal transduction pathways and identifying novel therapeutic targets and vulnerabilities in cancer, autoimmunity and brain disorders.