Modern Data and AI Architectures for Biomedical Applications

3 units

Modern Data and AI Architectures for Biomedical Applications explores the design, implementation, and evaluation of scalable data and artificial intelligence architectures used in contemporary biomedical research and healthcare systems. The course covers end-to-end pipelines—from data acquisition and integration to model deployment—focusing on structured and unstructured biomedical data such as clinical records, omics data, and medical imaging. Emphasis is placed on modern architectural paradigms, including cloud-native systems, distributed computing, data lakes, and MLOps, alongside considerations of data governance, privacy, security, and regulatory compliance in biomedical contexts.