This research investigates whether artificial intelligence can help non-specialist clinicians diagnose deep vein thrombosis using AI-guided handheld ultrasound devices. By enabling faster point-of-care diagnosis in GP surgeries, the project aims to reduce hospital referrals, improve accessibility for vulnerable patients, and help healthcare systems manage increasing clinical demand more efficiently.

This research investigates taste alterations experienced by cancer patients during chemotherapy and radiotherapy. Using electrogustometry and flavour profile analysis, the study measures and categorizes changes in taste perception to guide the development of tailored food products that improve nutrition, comfort, and quality of life for people undergoing cancer treatment.

This research examines the overlap between IBS and eating disorder–like behaviours, where conflicting dietary advice creates clinical uncertainty. By interviewing patients and providers, it identifies two distinct groups based on motivation for food restriction. The goal is to develop tools that improve nutrition counselling and support better, safer patient care.