Neuroimmunology and Neuroinfectious Diseases

Artificial Intelligence and Data-Driven Approaches in Neuroimmunology

This session will explore the growing role of artificial intelligence (AI), machine learning, and data analytics in advancing research and clinical practice in neuroimmunology and neuroinfectious diseases. It will focus on how large-scale datasets, including clinical records, imaging data, and genomic information, are being leveraged to improve disease prediction, diagnosis, and treatment personalization. The session will highlight AI-driven tools for pattern recognition in neuroimaging, biomarker discovery, and risk stratification, as well as their applications in clinical decision support systems. Discussions will also address challenges such as data quality, ethical considerations, privacy concerns, and the integration of AI technologies into healthcare systems. By bridging computational science with biomedical research, this session aims to showcase how data-driven approaches are transforming the understanding and management of neurological disorders.