PhD in Machine Learning in Medicine
Chronic diseases often develop gradually over years, and their trajectories vary widely between individuals. Understanding this progression is key to early detection and timely intervention. Large multimodal health datasets combining medical imaging, wearable sensor data and clinical measurements now make it possible to study disease progression from multiple perspectives. The goal of this project is to develop machine learning methods that learn from multimodal health data to characterise and model disease progression. Methodological focus areas the candidate may explore include: Multimodal…
