Liver cancer alters how cells use sugar long before tumors are visible. This research makes sugar detectable by MRI, allowing real-time imaging of cancer metabolism inside the liver. By revealing how tumors process energy differently from healthy tissue, the technique could enable earlier diagnosis, monitor treatment response, and improve patient survival.

Aneurysms cause hundreds of thousands of deaths each year, yet most never rupture. This research applies vascular mechanics, medical imaging, and multiscale simulations to model how arteries grow and weaken over time. By predicting which aneurysms will burst, it aims to guide safer, patient-specific treatment decisions and prevent fatal outcomes.

This research develops a novel MRI-based method to detect blood–brain barrier leakage associated with stroke. By comparing pre- and post-contrast brain images, the approach enables early detection, monitoring of treatment response, and risk prediction, offering new possibilities for stroke prevention and improved patient outcomes

This research examines how AI is used in NHS radiology and challenges claims that it will replace radiologists. Instead of full automation, AI supports clinicians, helping manage workforce shortages while radiologists retain responsibility for diagnosis and treatment decisions. Evidence, not hype, should guide debates about AI and work.

Hip dysplasia is often diagnosed too late or too inconsistently, leading to lifelong pain. The speaker’s research builds the first open-access AI tool for detecting and studying the condition, enabling portable automated diagnosis and global collaboration. By sharing tools instead of guessing, researchers can reduce unnecessary surgeries and improve outcomes worldwide.

This research explores “three-gamma PET,” a method that uses rare but information-rich gamma-ray events normally ignored by traditional PET imaging. By capturing and reconstructing these events with a custom 8π spectrometer, the project shows that three-gamma PET could improve accuracy, reduce scan time, and lower radiation dose, offering better diagnostics for cancer patients.