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 examined how COVID-19 viral loads change over time across saliva, throat, and nasal samples. The study found that different sample types detect infection at different stages, demonstrating that testing method matters. These findings could improve diagnostic strategies for COVID-19, influenza, RSV, and future emerging respiratory viruses.

This thesis uses randomized polling to show that Iranians’ trust in government is driven primarily by practical benefits—healthcare, economic stability, and safety—not ideology. Human rights concerns and identity factors predict little. The findings reveal a global shift toward transactional trust, posing challenges for defending democratic values and civic institutions.