Digital transformation is reshaping medicine. The Digital Health Track gives students from the Faculty of Science and the Faculty of Medicine a shared entry point into this rapidly evolving field. Small mixed cohorts work with real biomedical problems, data, and tools - learning to speak across disciplines and move ideas toward clinical impact.

The track currently consists of three coordinated English-language modules that can be taken individually or as a sequence. Enrollment is balanced across both faculties to promote interaction between future clinicians and biomedical scientists.

• BME 337 - Introduction to Digital Health (Fall)

Overview of how data, AI, mobile tools, imaging, and digital therapeutics are used in modern healthcare. Team presentations plus short online quizzes keep participants engaged. BME 337 fall semester 2025

• BME 338 - Introduction to Machine Learning in Biomedicine (Fall)

Core ML methods for biomedical data: preprocessing, supervised and unsupervised learning, neural networks, evaluation, ethics, and hands-on Python practice. Exams plus optional project presentations. BME 338 fall semester 2025

• BME 339 - Biomedical Informatics (Spring)

From biomedical data standards and genomics integration to clinical decision support, coding exercises, and regulatory considerations for clinical AI. Quizzes, coding work, presentation, and exam. BME 339 spring semester 2025